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The digital age has rekindled popular and academic interest in immortality. While the idea of immortality has long been recognized as fundamental to human societies, unlike death, within the field of sociology, immortality has not yet established itself as a distinct and autonomous field of study. This paper contributes to the recently emerging scholarship promoting a sociology of immortality. Drawing inspiration from C. Wright Mills's sociological imagination (1959) and building upon significant research in the field of immortality, we offer to use the concept of the immortological imagination as an analytical and conceptual tool for further developing a sociology of immortality. We refer to the immortological imagination as a complementary concept to Penfold-Mounce's thanatological imagination, seeing both concepts as stemming from two different lineages and academic traditions. After defining the immortological imagination and how it differs from and complements the thanatological imagination, the paper moves to discuss examples in popular culture establishing the potential impacts and influences of the immortological imagination, particularly within the digital context. [ABSTRACT FROM AUTHOR]

In this article I attempt to systematically reconstruct Theodor Adorno's account of the relationship between the processes of authoritarian subject formation and the processes of political formation of the democratic common will. Undertaking a reading that brings Adorno into dialogue with contemporary philosophical perspectives, the paper asks the question of whether it is possible to think of a "democratic We" in nihilistic times. In order to achieve this aim, I will analyze in reverse the modifications that the concept of narcissism has undergone, from Adorno's use of it to account for the symbolic obstacles to the formation of democratic subjectivities after the Holocaust, to the initial formulations of Freudian psychoanalysis. Finally, I will attempt to outline an affirmative answer to the initial question, formulating the potentials and merits of what I will call a politics of negativity. [ABSTRACT FROM AUTHOR]

This is a study of an action research project conducted in one of the biggest university departments for sociology in a Central Eastern European capital during the first half of the 2000s. The paper shows that researchers' images of society have a strong impact on social scientific methodology, scientific explanations and narratives. I offer an example of how realist approaches to science and technology studies can be used in a field study and discuss the benefits and limitations of such an endeavor, which I define as an interpretive and explanatory social scientific work. The analysis shows ways in which latent knowledge structures influenced the wording of a questionnaire used in the research, the types of data that were gathered, and how the data were interpreted. These knowledge structures include notions concerning local policy discussions, different social policy traditions, and images of a Roma minority struggling with the effects of structural poverty and prejudices. [ABSTRACT FROM AUTHOR]

While theoretical approaches attempt to map ancient childhood, the material and incidental nature of children's lives in all their varieties and differences, are crucial for understanding ancient childhood. Recent investigations into children in their living environments have shown attention to their clothing, childhood care, social relations, leisure and play, health and disability, upbringing and schooling, and their experiences of death. Children's lives and activities were framed also by the agonistic nature of first-century society, making them susceptible to structural violence in various ways. The purpose of the paper is to track and trace children's experience and in particular their agency in the ancient Roman world that were often hostile to little lives and bodies, and to consider the value of such studies for the interpretation of the New Testament. [ABSTRACT FROM AUTHOR]

This paper argues that interreligious dialogue through study and friendships across the religious divide makes participants less susceptible to religious and cultural misinformation that is often used to maintain social bubbles, in which members draw clear boundaries between "us" and "them". Differences between social groups can culminate in a struggle between "good" and "evil" that can escalate into tension and violence. Preventing tensions and conflicts requires respect for differences, willingness to engage in dialogue, and a sound understanding of what religion is and the historical processes that have determined its development, distinguishing between empirical facts and images to which believers adhere. Because the author is a Dutch sociologist turned journalist from a conservative Christian family involved in interreligious dialogue in the Netherlands, Israel, and Egypt, the literature review presents contemporary religious developments in all three countries. The literature review is flanked by the author's personal narrative on the events that changed his views on truth and spirituality, making him more aware of the commonalities between peoples of different beliefs and leading him to a lifelong commitment to interreligious and intercultural dialogue. [ABSTRACT FROM AUTHOR]

This paper aims to analyze the movie The War Is Over (La guerre est finie—France/Sweden, 1966, directed by Alain Resnais and a screenplay by Jorge Semprún). The idea is to point out a possible sociological discussion on exile, mobilizing the notion of mental images. The methodological approach is an internal analysis of the film to allow for the elaboration of sociological considerations along with the expressive elements of the film construction. To do so, we shall focus on the "leaps" within the movie's narrative order, in which a main character (Diego) anticipates, through imagination, a series of sequences and events that might or might not have occurred. To discuss the notion of mental images and their relationship with the imaginary, the theoretical reference will be Cornelius Castoriadis' book The Imaginary Institution of Society. This article will benefit from the discussions in the presentations about the film both at meetings in Brazil and at the last ISA Congress 2023 (International Sociological Association—Research Committee 37—Sociology of Arts). This text is one of the results of research supported by the São Paulo Research Foundation (FAPESP). [ABSTRACT FROM AUTHOR]

This paper aims to comprehensively examine the effects of societal and individual characteristics on work-related attitudes, specifically work commitment and work orientations, using a single dataset and comparable models. It also seeks to relate these attitudes to classic theories and understand how societal factors shape work-related attitudes. The analysis is based on data collected by the International Social Survey Programme (ISSP) in its work orientations survey. Data is analyzed using factor analyses, correspondence analyses, and multilevel regressions. The paper provides an overview of work-related attitudes at the country level and a detailed analysis of societal and individual variables that shape these attitudes. The results indicate that individual attitudes reflect large societal trends and developments, which are discussed with reference to current studies and classic theories. This paper contributes to understanding work-related attitudes by offering a comprehensive analysis of the effects of societal and individual characteristics, using a single dataset and comparable models. It also relates these attitudes to classic theories and discusses how societal factors shape work-related attitudes. The findings also have policy implications, particularly in the recruitment and retention of highly qualified and motivated workers in different countries. [ABSTRACT FROM AUTHOR]

In this paper, I consider the construction of patents as social practices. The goal is to observe patents in action, that is, to catch patents in the act of becoming patents. This method of "following the action" is well established in the sociology of science. Similar consideration of the artifices by which a new patent is staged reveals parallels to the known staging of technical papers, including the recruitment of rhetorical allies, semantic fortification against subsequent challenges, and trials of cognitive strength. In each situation, assertions become stabilized facts only if subsequent recipients are induced to accept them as such. However, the patent is formed in a process that largely sidesteps the mechanisms of peer review and material experimentation, substituting instead legal and procedural affordances to facilitate closure. Thus, following the action from which the stabilized patent is fabricated reveals the patent as a uniquely legal, rather than technical, social object. [ABSTRACT FROM AUTHOR]

This paper aims to comprehensively examine the effects of societal and individual characteristics on work-related attitudes, specifically work commitment and work orientations, using a single dataset and comparable models. It also seeks to relate these attitudes to classic theories and understand how societal factors shape work-related attitudes. The analysis is based on data collected by the International Social Survey Programme (ISSP) in its work orientations survey. Data is analyzed using factor analyses, correspondence analyses, and multilevel regressions. The paper provides an overview of work-related attitudes at the country level and a detailed analysis of societal and individual variables that shape these attitudes. The results indicate that individual attitudes reflect large societal trends and developments, which are discussed with reference to current studies and classic theories. This paper contributes to understanding work-related attitudes by offering a comprehensive analysis of the effects of societal and individual characteristics, using a single dataset and comparable models. It also relates these attitudes to classic theories and discusses how societal factors shape work-related attitudes. The findings also have policy implications, particularly in the recruitment and retention of highly qualified and motivated workers in different countries. [ABSTRACT FROM AUTHOR]

In this paper the results of a theoretical research on the category of social exclusion are presented, research performed from 2022 to early 2023. From a series of analysis related to the absence of a theoretical base for such category, the purpose was to identify, through document review, which theoretical background this category could be related with. The argument in this paper is that structural functionalism is an alternative for theoretical ground, because with Robert Merton was found that social exclusion is a problem addressed in his theory through the concept of anomie in his sociology of deviation. [ABSTRACT FROM AUTHOR]

Effective cancer diagnosis, treatment and control depend on interactions among numerous distinct factors, from technology to data to skills to sociology. But a crucial influence is the extent to which the health system takes account of the distinct perspectives of the many different groups of interdependent stakeholders concerned with cancer, including patients, practitioners and planners. This paper provides some elucidation as to how far and how efficiently these interactions currently take place in Europe. It also makes some tentative suggestions as to how conscious systematic interventions could improve cancer outcomes. It is based on a series of expert panels and surveys conducted by the European Alliance for Personalised Medicine (EAPM) that provided information at the national level on three selected parameters: implementation of next-generation sequencing (NGS) and liquid biopsy (LB), attitudes of patients to prevention and practices of sharing genomic data among healthcare professionals (HCPs). The varying data infrastructure highlights the urgent need for substantial improvements to accommodate the increasing importance of genomics data in cancer diagnosis and care. Additionally, we identify disparities in age-specific approaches to cancer prevention, emphasising the necessity for tailored strategies to address unique age group perspectives. Moreover, distinct regional prioritizations in cancer treatment underscore the importance of considering regional variations when shaping future cancer care strategies. This study advocates for collaborative data sharing supported by technological innovation to overcome these challenges, ultimately fostering a holistic and equitable provision of cancer care in Europe. [ABSTRACT FROM AUTHOR]

The intention of this article is to reflect on the concepts of norm and linguistic norm. The text begins by showing how the reflections of Social Sciences, particularly Sociology, maybe fruitful for defining the concept of norms in the area of Linguistics, as the latter turned its attention to this concept later than the other disciplines. The main conceptualizations proposed in Linguistics are then presented. Finally, attention is given to the concept of standard language, whose definition still varies from one author to another. In this way, the paper brings several clues to deepen the reflection on the subject and hopes to contribute to its relevance as an object of scientific research. [ABSTRACT FROM AUTHOR]

Simple Summary: (1) This study focuses on the ethical challenges veterinarians face when euthanizing animals, the act of ending an animal's life to relieve its suffering. Unlike other healthcare professionals, veterinarians are often required to perform euthanasia as part of their work. How veterinarians determine what constitutes a "good" killing, in a normative sense, needs to be explored. (2) 17 interviews with veterinarians were conducted and analyzed in detail. (3) The study found that veterinarians have different perspectives on what they consider ethically acceptable regarding euthanasia. They distinguish between farm animals and companion animals. Economic and emotional factors also influence their decisions. Ethical boundary work describes how veterinarians define what they consider normatively legitimate in these areas of veterinary medicine. (4) In conclusion, this study shows that veterinarians face difficult decisions and use ethical boundary work to meet these challenges. They must balance sometimes conflicting interests and adapt to multiple situations. By understanding the complexity of ethical boundary work, we can better understand the moral aspects of veterinary practice. This knowledge can improve veterinary care and help veterinarians make ethical decisions that benefit both animals and society. (1) Veterinarians are regularly required to euthanize their "objects of care" as part of their work, which distinguishes them from other healthcare professionals. This paper examines how veterinarians navigate the ethical tensions inherent in euthanasia, particularly the collision between the routine practice of killing animals within their profession and the broader social and moral implications. (2) Using the sociological concept of ethical boundary work as a theoretical framework, this research observes how veterinarians draw boundaries by positioning their euthanasia practices on the ethical "good" spectrum. A grounded theory study of 17 qualitative interviews with veterinarians was conducted. (3) The findings highlight differences in ethical boundary work within veterinary medicine, particularly in the distinction between farm animals and companion animals. Economic and emotional reasoning play differing roles in explanation and justification. Ethical boundary work is a tool for distinguishing normative frameworks in different areas of veterinary medicine. (4) In conclusion, veterinarians grapple with the realities of an imperfect world and often rely on boundary work to assert diverse interests and navigate multiple contexts. By exploring the complexities of ethical boundary work, this study contributes to a more comprehensive understanding of the moral landscape within veterinary practice. [ABSTRACT FROM AUTHOR]

The central thesis of this paper is that human unconscious processes influence the behavior and design of artificial intelligence (AI). This thesis is discussed through the case study of a chatbot called Replika, which intends to provide psychological assistance and friendship but has been accused of inciting murder and suicide. Replika originated from a trauma and a work of mourning lived by its creator. The traces of these unconscious dynamics can be detected in the design of the app and the narratives about it. Therefore, a process of de-psychologization and de-humanization of the unconscious takes place through AI. This psychosocial approach helps criticize and overcome the so-called "standard model of intelligence" shared by most AI researchers. It facilitates a new interpretation of some classic problems in AI, such as control and responsibility. [ABSTRACT FROM AUTHOR]

Diseases that are transmitted from vertebrate animals to humans are referred to as zoonotic diseases. Although microbial agents such as bacteria and parasites are linked to zoonotic events, viruses account for a high percentage of zoonotic diseases that have emerged. Worryingly, the 21st century has seen a drastic increase in the emergence and re-emergence of viral zoonotic disease. Even though humans and animals have coexisted for millennia, anthropogenic factors have severely increased interactions between the two populations, thereby increasing the risk of disease spill-over. While drivers such as climate shifts, land exploitation and wildlife trade can directly affect the (re-)emergence of viral zoonotic disease, globalisation, geopolitics and social perceptions can directly facilitate the spread of these (re-)emerging diseases. This opinion paper discusses the "intelligent" nature of viruses and their exploitation of the anthropogenic factors driving the (re-)emergence and spread of viral zoonotic disease in a modernised and connected world. [ABSTRACT FROM AUTHOR]

The aim of this paper is to perform a sociological and pastoral analysis of the religiousness of young people in Poland, which is a challenge to Catholic education. The authors analyse this issue based on the empirical study conducted in 2019 and 2020. The study employed an online survey questionnaire. The study included 1171 people, students in grades 7 and 8 of primary schools and of secondary schools in the Małopolskie and Podkarpackie Voivodships in Poland. The paper focuses on young people's self-declarations concerning: the religion they profess, faith, affiliation with a religious community, a bond to the community, the respondents' and their parents' attending religious services, celebrations/masses and praying individually. It was regarded as important to determine the correlations between the self-declarations of affiliation with a religious community and self-declaration of the religion professed and between the self-declarations of faith and bond to a religious community and self-declaration of the religion professed. These issues are enriched with the respondents' opinions on religion as a school subject. They provide an insight into not only the respondents' religiousness but also a diagnosis of young people's attitudes towards religion as a school subject. They allow for conclusions to be drawn on Catholic education in the secularising society, especially with young people increasingly often quitting religious lessons in schools. [ABSTRACT FROM AUTHOR]

Merton proposed middle range theories, not as ends in themselves, but as bases for a consolidation to explain broader phenomenon. More than a half century has passed since Merton's consolidation proposal and in that time a number of experimentally tested middle range theories have been developed. Certainly, the next step should be a consolidation. Yet, to our knowledge, no one has previously offered a consolidation of experimentally tested theories and applied it for explanation. This paper offers a consolidation of middle range theories formulated to explain the rise of the pristine state. Two theories of this consolidation, Status Characteristics Theory and Elementary Theory, form the core of what Analytic Sociologists have called a toolbox of theories. Our toolbox forms an integrated consolidation in two ways. First, the social structures modeled by the theories form a path-dependent process of increasing benefits gained by the elites of the structures. Second, the end conditions of each step of the process are the initial conditions of the next. Whereas the theories in our toolbox have previously been seen as applying exclusively to microstructures, we have encountered no difficulties in scaling them up to apply to macrostructures. While we hope the consolidation has validity in explaining the occurrence of pristine states, this paper's significance lies in its demonstration that today social theories can be consolidated and applied for explanation. [ABSTRACT FROM AUTHOR]

In this paper, we analyze the generalization performance of the Iterative Hard Thresholding (IHT) algorithm widely used for sparse recovery problems. The parameter estimation and sparsity recovery consistency of IHT has long been known in compressed sensing. From the perspective of statistical learning, another fundamental question is how well the IHT estimation would predict on unseen data. This paper makes progress towards answering this open question by introducing a novel sparse generalization theory for IHT under the notion of algorithmic stability. Our theory reveals that: 1) under natural conditions on the empirical risk function over $n$ samples of dimension $p$ , IHT with sparsity level $k$ enjoys an $\tilde {\mathcal {O}}(n^{-1/2}\sqrt {k\log (n)\log (p)})$ rate of convergence in sparse excess risk; 2) a tighter $\tilde {\mathcal {O}}(n^{-1/2}\sqrt {\log (n)})$ bound can be established by imposing an additional iteration stability condition on a hypothetical IHT procedure invoked to the population risk; and 3) a fast rate of order $\tilde {\mathcal {O}}\left ({n^{-1}k(\log ^{3}(n)+\log (p))}\right)$ can be derived for strongly convex risk function under proper strong-signal conditions. The results have been substantialized to sparse linear regression and sparse logistic regression models to demonstrate the applicability of our theory. Preliminary numerical evidence is provided to support our theoretical predictions. [ABSTRACT FROM AUTHOR]

Contributions: The underrepresentation of women in computer science (CS) majors has long been a focus of attention in many academic documents, the majority of them from the United States and Europe. There is, however, a lack of information about educational interventions (EIs) for women in computing in Latin America. The contribution of this article is to cover this gap and describe what researchers in Latin American countries have been publishing about the recruitment and retention of women in the CS field. Background: Many EIs targeting female students at different educational levels—K-12, undergraduate, and graduate—have been undertaken to increase the participation of women in computing in Latin America. However, descriptions of these activities rarely are included in international academic databases. Research Questions: This literature mapping addresses two main research questions (RQ) about the topic of women in computing in academic publications in Latin American countries: RQ1) what are the characteristics of the publications about women in computing in Latin America? and RQ2) what are the published interventions to recruit and retain women in computing in Latin America? To answer RQ1, six subquestions were created covering year, language, country of origin, document type, and professional track. Furthermore, for RQ2, two subquestions were created involving educational level and the use of software development with a female theme. Methodology: This investigation used the systematic literature mapping process. To achieve a broad coverage of papers, the following sources were included: Scopus, Web of Science, Google Scholar, EBSCO, the proceedings of the Latin American Women in Computing Conference (LAWCC), and those of the Women in Technology (WIT) workshop colocated with the annual conference of the Brazilian Computer Society (SBC). The included papers were published in the last decade (2010–2020) and written in English, Portuguese, or Spanish. Findings: The literature mapping encompasses 197 academic documents, 48.2% of which were written in Portuguese, 28.7% in English, and 23.1% in Spanish. The papers originated from 15 of the 20 Latin American countries. Brazil and Costa Rica have the highest number of publications overall. The documents describe initiatives to increase the participation of women in computing majors that cover the entire educational spectrum, from K-12 to graduate programs, but papers targeting populations in higher education have started to appear recently. [ABSTRACT FROM AUTHOR]

The paper rekindles a three-decade-old debate in the annals of Indian anthropology / sociology which became dormant after no significant headway was made. The debate which goes by the name of "crisis in sociology" in India provides the backdrop against which the paper makes sense of current regimes of knowledge production that a doctoral candidate in India must navigate. By doing so, the paper reflects on the limitations of epistemological critiques wherein an epistemic critique stops at the corridors of an academic workplace. The paper argues that doctoral candidates in India today are cognitive workers engaged in exploitative relations of knowledge production. However, these exploitative relations are obfuscated by the postcolonial epistemological critiques that indulge in foregrounding the hegemony of the North / West. The paper proposes an infrastructural critique of knowledge that does not respond with despair to perceived transformations and crises. [ABSTRACT FROM AUTHOR]

This paper explores the feasibility and scope of co-channel coexistence between a low data rate Orthogonal Frequency Division Multiplexing (OFDM) secondary network and a digital television (DTV) broadcast network operating in the same area. Since DTV receivers do not transmit, neither the presence nor the impact of interference from the secondary network on these DTV receivers can be known. Consequently, conventional spectrum sensing techniques cannot be employed effectively. This paper proposes to compensate the lack of feedback by combining the available information about population distribution in the region - ranging from coarse population density estimates to accurate geospatial maps - with better estimation of interference using a data-driven technique called Ordinary Kriging. Radio Environment Maps constructed using the Kriging method from field-reported observations from the secondary nodes are used to obtain better accuracy than the conventional statistical models. The estimates are then used to compute communication parameters for each secondary link in terms of power, number of active subcarriers, and active time slots, while keeping the average interference in the DTV network within threshold bounds. Thus, the viability of such co-channel license-exempt operation of secondary networks in the DTV black and grey spaces for low data rate applications in densely populated urban areas and higher data rate capabilities for sparsely populated rural areas is established. [ABSTRACT FROM AUTHOR]

The paper offers a distinctive reading of Popper’s work, suggesting that his Logic of Scientific Discovery (LScD) might be re-interpreted in the light of his Open Society. Indeed, Popper can be interpreted as criticising certain aspects of his first book, and as a result improving upon them, in his second. It suggests translating what Popper says about ‘conventions’ into his later vocabulary of ‘social institutions’. Looking back, I believe that Popper never intended the language of conventions and decisions to be read individualistically. I remain unsure whether Popper was himself quite as clear about this as he could have been. My reading makes Popper a pioneer in the sociology of science. Scientific institutions are arenas of political power; but Popper did not discuss the structure and inter-relations of the social institutions of science, or offer a politics of science in the context of his methodology. What is missing from the skeletal sociology of LScD is the politics. We could put it in Popperian terms this way: scientific institutions are both open and closed. They are closed, firmly, to the inexpert, to the nonmembers; supposedly they are open to the qualified, provided the prerogatives of seniority and leadership are acknowledged. Despite these shortcomings, Popper’s critical and rational approach and his insistence on openness and intellectual honesty are still important today. [ABSTRACT FROM AUTHOR]

This paper presents and responds to On the Heels of Ignorance, a sociological study which identifies five fundamental epistemological paradigm changes in American psychiatry in the service of its survival and details several tactics that have been employed to facilitate these professional reinventions. Issues raised in this presentation include the relationship between psychiatry, society and the state, and the nature and significance of psychiatric expertise. The dynamic of these relationships and the complexities of the required expertise create their own challenges for the advancement and professional accountability of the specialty. The conclusion suggests some future imperatives. [ABSTRACT FROM AUTHOR]

Research on mixed racial and ethnic identities has developed rapidly over the past decades, increasing in theoretical scope and depth, and exploring mixedness across a growing range of national and social contexts. Recent research has highlighted the huge variations and shifts in conceptions of mixedness around the world, and the different pathways to understanding what it means to be mixed through migration, development, postcolonialism and different forms of nation-building. This paper seeks to connect theory to practice, approaching mixedness through the lens of clinical sociology, applying sociological theory on the ground and exploring the utility of critical mixed race studies in everyday life. Clinical sociology as a practice is first outlined, juxtaposed against the development in theorizing around mixed racial and ethnic identities on an international level. The paper then looks at some possibilities for practical impact: by acknowledging the complexity of mixedness and everyday life, research on mixed identities can go beyond the development of theory and case description, with applied and clinical impacts ranging from the level of the individual to the level of the state. Research on mixedness worldwide illustrates the diversity inherent within ideas of mixing, and the micro, meso and macro applications and potential outcomes of such theories. This paper draws on new and shifting conceptions of mixedness, emphasizing that the sociology of mixedness can have considerable value in effecting positive social change: positioning the (mixed) individual within the (mixed) society and allowing sociology to become action. The development and use of theories around mixedness emphasize the importance of clinical sociology as a practice: a reason for theory, connecting the abstract to the everyday. [ABSTRACT FROM AUTHOR]

This paper considers the problem of adaptive group testing for isolating up to $k$ defective items from a population of size $n$. There exist restrictions or preferences which determine how the items can be pooled for testing. A graphical model formalizes the pooling restrictions and preferences. Such graph-constrained group testing is investigated in three settings: populations with defectives, populations facing the potential presence of inhibitors, and populations with community structures. Adaptive group testing frameworks are provided for each setting. In populations without inhibitors, existing non adaptive frameworks can isolate the defective items perfectly with $\Theta(k \log n/k)$ number of tests, where is the $\beta$ -mixing time of a random walk over the underlying graph. This paper provides a two-stage framework that can perfectly isolate up to $k$ defective items for a regular graph using $\Theta(k2 \log n k + k)$ number of tests, thus achieving an approximate gain of a factor of $k$ over the non-adaptive frameworks. This twostage framework's principles are extended to community-structured graphs and graphs with up to $r$ inhibitor items. In particular, when inhibitors are present in the graph, a four-stage group testing framework is proposed. The results show that in the regime $r= O(k)$ for a fully connected graph, $\Theta ((k+r)\log n/(k+r) + r\log n)$ tests are sufficient for isolating the defective items. This matches the corresponding necessary condition on tests which scales $(k+r)\log n$. The adaptive graphconstrained group testing framework is also empirically evaluated. [ABSTRACT FROM AUTHOR]

Norbert Elias is an author traditionally absent in communication studies. His relevance for this field has begun to be defended recently, an argumentative line with which this paper is also identified. The article has two interrelated aims. First, present the main dimensions of Norbert Elias' analysis on human communication. Second, critically examine several current studiesthat, in communication studies, take this author as a theoretical reference for their research. To achieve the first aim, it is analysed Theory of the Symbol, a book originally published in 1989, where Elias collects his reflections about the communicational and symbolic dimensions of human being. To achieve the second goal, the paper is focused on the concept of Communicative Figuration, recently developed according to an eliasian perspective, and currently applied in several studies devoted to the topic of mediatization. [ABSTRACT FROM AUTHOR]

This paper exposes a theoretical approach proposal for the analysis of social inequalities through the notions of socialization and subjective experience, from a comprehensive sociology and Schutz's phenomenological perspective. The intention is to emphasize the subjective dimension in the phenomenon of inequality, which refers to the naturalization that occurs through the mental categories that we use to look at and build the social world, and that results in an aspect that strongly adds to structural conditioning of this problem. In particular, it is proposed to study this phenomenon in the context of high school, since it represents a particular period of life in which teenagers appropriate identity categories and in relation to the social order in which they operate. The results, from this approach, propose to rescue the role of the educational institution in the subjective incorporation of this problem, and, with it, address school practices and their objective effects on the lives of students. [ABSTRACT FROM AUTHOR]

This paper explores the presence and consideration of economics in sociology, specifically its classical version. It identifies certain original and independent economic theories, concepts and approaches in classical sociological theory as central and its derivations, implications and extensions of economics as peripheral. The paper argues and demonstrates that classical sociology is far from being the science of noneconomic or irrational phenomena, as often sociologists conceive it and economists perceive it in counter-distinction from economics defined as the science of rational behavior, and indeed encompasses virtually all economic activities and processes, and thus prefigures New Economic Sociology adopting the same approach. [ABSTRACT FROM AUTHOR]

Let $\mathrm {W}\in \mathbb {C}^{n\times n}$ be a single-spiked Wishart matrix in the class $\mathrm {W}\sim \mathcal {CW}_{n}(m,\mathrm {I}_{n}+ \theta \mathrm {v}\mathrm {v}^{\dagger}) $ with $m\geq n$ , where ${\mathrm {I}}_{n}$ is the $n\times n$ identity matrix, $\mathrm {v}\in \mathbb {C}^{n\times 1}$ is an arbitrary vector with unit Euclidean norm, $\theta \geq 0$ is a non-random parameter, and $(\cdot)^{\dagger} $ represents the conjugate-transpose operator. Let u1 and ${\mathrm {u}}_{n}$ denote the eigenvectors corresponding to the smallest and the largest eigenvalues of W, respectively. This paper investigates the probability density function (p.d.f.) of the random quantity $Z_{\ell }^{(n)}=\left |{\mathrm {v}^{\dagger} \mathrm {u}_\ell }\right |^{2}\in (0,1)$ for $\ell =1,n$. In particular, we derive a finite dimensional closed-form p.d.f. for $Z_{1}^{(n)}$ which is amenable to asymptotic analysis as $m,n$ diverges with $m-n$ fixed. It turns out that, in this asymptotic regime, the scaled random variable $nZ_{1}^{(n)}$ converges in distribution to $\chi ^{2}_{2}/2(1+\theta)$ , where $\chi _{2}^{2}$ denotes a chi-squared random variable with two degrees of freedom. This reveals that u1 can be used to infer information about the spike. On the other hand, the finite dimensional p.d.f. of $Z_{n}^{(n)}$ is expressed as a double integral in which the integrand contains a determinant of a square matrix of dimension $(n-2)$. Although a simple solution to this double integral seems intractable, for special configurations of $n=2,3$ , and 4, we obtain closed-form expressions. [ABSTRACT FROM AUTHOR]

Network diffusion processes or how information spreads through networks have been widely examined in numerous disciplines such as epidemiology, physics, sociology, politics, or computer science. In this paper, we extend previous developments by considering a generalization of the diffusion by considering the possibility of differences in the speed of diffusion and reduction depending on the forces' directions. In this situation, the differential speed of diffusion produces deviations from the standard solution around the average of the initial conditions in the network. In fact, this asymmetry gives rise to non-linear dynamics in which, contrary to the symmetric case, the final solution depends on the topology of the graph as well as on the distribution of the initial values. Counter-intuitively, less central nodes in the network are able to exert a higher influence on the final solution. This behavior applies also for different simulated networks such as random, small-world, and scale-free. We show an example of this kind of asymmetric diffusion process in a real case. To do so, we use a network of US Boards of Directors, where boards are the nodes and the directors working for more than one board, are the links. Changes in the proportion of women serving on each board are influenced by the gradient between adjacent boards. We also show that there is an asymmetry: the gradient is reduced at a slower (faster) rhythm if the board has less (more) women than neighboring boards. We are able to quantify the accumulated effect of this asymmetry from 2000 to 2015 in the overall proportion of women on boards, in a 4.7 percentage points (the proportion should have been an 14.61% instead of the observed 9.93% in 2015). [ABSTRACT FROM AUTHOR]

Understanding intra-urban human mobility patterns and their potential driving forces are vital to city planning and commercial site selection. In this paper, we first investigate the functions of urban regions and how different region types dynamically influence people’s trip decisions. Furthermore, we characterize urban circadian rhythms by time-vary inter-regional transition probabilities between these regions with different functions, and integrate them into intervening opportunity model to predict human mobility. Public transportation card data in Shanghai are used to demonstrate the effectiveness of the model in terms of station passenger flows, travel time and trip flux. By taking regional function into consideration, the proposed model significantly improved the prediction accuracy. Quantitative analysis ulteriorly indicates that trip intentions and regional features are critical elements in trip flux prediction, especially in the afternoon and evening when people have an abundance of opportunities to travel by their own volition. When the function of a certain region changes, our model is able to make reasonable predictions accordingly. The results indicate the importance of considering individual travel motivation and regional function in modeling human mobility. The proposed model could serve as a guide for popularity and trip flux prediction in urban planning and reconstruction. [ABSTRACT FROM AUTHOR]

There are many contradictions in previous studies of the status of depressive symptoms among Chinese migrant children, the number of which in the compulsory education stage is about 13.9 million. This systematic review and meta-analysis were designed to compare depressive symptoms among migrant children and their urban children. Around 2,710 papers were retrieved from PubMed, OVID, the Web of Knowledge, CNKI, Wan Fang, Chongqing VIP, and Chinese Social Sciences Citation Index on January 27, 2020. Thirty-Two studies met study criteria with 14,906 migrant children and 10,792 urban children. Migrant children scored significantly higher for depressive symptoms score (SMD = 0.307, 95% CI [0.222, 0.393]). Region significantly influenced the difference of depressive symptoms between migrant children and urban children. Large effect sizes came from studies using scales that focus on depressive mood while studies using scales that focus on depressive behavioural symptoms had small effect sizes. Future research should focus on treatments to decrease depressive mood of migrant children. Future studies can add information about the length of their current stay in the urban location to improve the quality of study. PROSPERO registry: Systematic review registration no. CRD42018090676. [ABSTRACT FROM AUTHOR]

Understanding the processes contributing to equality of opportunity and outcomes in contemporary societies is at the core of the discipline of sociology. This paper illustrates the value of administrative data to underpin research aimed at identifying, monitoring, and addressing socio-economic disparities between population groups. To accomplish this, I draw on three case studies of recent empirical research leveraging administrative data to examine processes contributing to the (re)production of inequalities by sexual orientation. Collectively, the three case studies exemplify how data sources that fall within the broad category of 'administrative data' can help social researchers generate new, policy-relevant knowledge on socio-economic inequalities, as well as robust information to contextualize public and legislative debate. The paper concludes with a discussion of the promises and challenges of using administrative data to understand inequalities by sexual orientation, as well as inequalities between other minority and majority groups. [ABSTRACT FROM AUTHOR]

The aim of the paper is to present a brief insight into the significant works and views of the German sociologists Niklas Luhmann and Jűrgen Habermas on the role of law in regulating human relations in society. Educated as a lawyer, Niklas Luhmann in the late academic career was under the influence of the American sociologist Talcott Parsons. Niklas Luhmann later, under the influence of the American sociologist Talcott Parsons, he built a sociological theoretical system called the systems theory. On the other side, Jűrgen Habermas was a philosopher and sociologist, highly influenced by the Frankfurt school of sociology. According to Luhmann's systems theory, the social reality and the separate aspects of the social life are part of a deeper system called society, and in relation to the same they are set as subsystems. Social systems are divided into allopoietic and autopoietic. One of the significant axioms of Luhmann's theory is that the largest number of systems tends to simplify due to the pressure of the environment for greater efficiency. Law in Luhman's systems theory enjoys the status of an autonomous system for regulating society, rather than an instrumental contribution to politics. This brief review exposed a big clash between two influential German thinkers. In this paper we are going to use historical method and analysing of the content of different materials and previous authors that are dealing with the work of Niklas Luhmann and Jűrgen Habermas. [ABSTRACT FROM AUTHOR]

With the rapid development of urbanization, urban land has been expropriated and developed on a large scale. Moreover, people's awareness of the protection of historical buildings is relatively weak, so some historical buildings have been demolished or rebuilt. Historical buildings have played an important role in the spread of national culture, so how to use some methods to protect historical buildings from being destroyed has become an urgent problem to be solved. The protection of historical buildings includes a series of complicated and rigorous procedures, such as on-site drawing and mapping, survey and design, and scheme discussion and construction. The surveying and mapping of traditional historical buildings require people to do it by themselves, so it is inevitably time-consuming and labor-intensive. This paper first discussed and analyzed the significance of historical building protection, and then used digital technology to make up for the shortcomings of traditional manual surveying and mapping and historical building protection methods. Modern technologies such as three-dimensional laser scanning technology and virtual reality technology are used to restore the style and appearance of historical buildings. Among them, in terms of the color of historical buildings, the restoration degree of buildings based on digital protection technology has reached 56.1%; at the same time, the efficiency of information collection and processing, and virtual model construction has also been improved. Thus, the ultimate goal of historical building protection is achieved, and it provides a reference for the digital protection of historical buildings. [ABSTRACT FROM AUTHOR]

Pattern mining (PM) refers to the process of discovering patterns of interest to users from data. However, most studies have considered only one pattern, such as frequent pattern or high-utility pattern. With the continuous requirement of businesses in various industries, the single-objective PM methods are difficult to meet the increasingly diverse needs of users. In this paper, a multi-objective problem model for high quality pattern mining (HQPM) is proposed, where the objectives are support, occupancy, and utility. In order to solve the proposed three-objective problem efficiently, an improved multi-objective evolutionary algorithm for HQPM (MOEA-PM) is proposed. Two kinds of population initialization strategies are designed, which is used to ensure the population is effectively distributed in the feasible solution space. By taking the properties of the model into consideration, an auxiliary tool is proposed to accelerate the convergence of the algorithm. Experimental results on real-world datasets show that the proposed three-objective problem model with the MOEA-PM algorithm can discover patterns that are both frequently occurring and has a high utility in the transaction datasets, while at the same time being relatively complete. Compared with the state-of-the-art MOEA-based HQPM algorithms, MOEA-PM has better performance in terms of efficiency, quality, and convergence speed. [ABSTRACT FROM AUTHOR]

Objective: the aim of this paper is to test a sociology of welfare; that is, two analytical tools are argued to gain an understanding of the sociological content of welfare: 1) the identification of the forms of social precariousness existing in Mexico; 2) the idea of the continuum of inequality of violence and its visibility. Methodology: in defending their theory, the authors use analytical and qualitative sociology as a methodological perspective, where classical concepts of sociology function as reflexive tools to promote the elaboration of a qualitative, critical and normative thinking around the forms of precariousness and their opposite, welfare. Results: presented in two sections: 1) The emergence of violence as a structure for the precariousness of life, a section that reflects on the increase in the forms of violence and their importance when addressing the issue of well-being; 2) Analysis of the forms of social precariousness, which proposes a matrix of the main forms of precariousness that actually exist in Mexico, where the elements of the continuum of inequality of violence are identified. Conclusions: it is proposed that a qualitative sociological knowledge of social precariousness and violence, of the forms and dynamics of social action is necessary to understand the substantive meaning of welfare; useful knowledge to guide public actions in favor of welfare in democratic societies, especially to test innovation in the design of social policies. [ABSTRACT FROM AUTHOR]

This study analyses the epistemic functions of images in the geographic and sociological discourses on poverty habitat in the megacities of the global south by focusing on Mexico city. Based on a conceptual and methodological review of art history from Bildwissenschaft perspective (visual studies), this paper aims to examine the poverty habitat by describing its typologies, patterns, encodings and possible effects of its visual constructions. This contribution outlines the utility of this type of research, the function of inter and transdisciplinary studies in this field and its fundamental ethic dimension. [ABSTRACT FROM AUTHOR]

With the continuous enrichment of material life and the increasing improvement of spiritual life, the quality of life of people in the new era has improved comprehensively. After achieving technological advancements, further improving people's living standards will become the first priority, and indicators concerning quality of life will become more important, including spiritual needs, environmental conditions and social order. In particular, the degree of spiritual and cultural satisfaction is a prominent indicator for consideration. The current research investigates how new-age art is changing and how it may affect society dynamics in the future. It explores how new-age art, as a phenomenon in culture, adjusts to shifting environments, emphasizing the social roles, realization of values, and influencing elements of the art. With a focus on spiritual and cultural fulfillment, the study highlights the value of art in improving people's quality of life while taking into account elements such as social order, environmental influences, and spiritual demands. The primary goal is to comprehend the ways in which new age art raises living standards and general well-being. The results demonstrate the lasting contributions that new-age art makes to enjoyment, cultural transmission, and education, thereby reaffirming its important position in society. The paper emphasizes how crucial the socialist culture sector with Chinese characteristics will become to the future economic framework. This study found that new-age art continuously produces excellent literary and artistic works in addition to preserving traditional Chinese culture and fostering cultural self-confidence through its support for the improvement of living standards and industrial growth. This illustrates its practical importance in upholding economic supremacy and promoting cultural advancement. [ABSTRACT FROM AUTHOR]

Profit-oriented service sectors such as tourism, hospitality, and entertainment are increasingly looking at how professional service robots can be integrated into the workplace to perform socio-cognitive tasks that were previously reserved for humans. This is a work in which social and labor sciences recognize the principle role of emotions. However, the models and narratives of emotions that drive research, design, and deployment of service robots in human–robot interaction differ considerably from how emotions are framed in the sociology of labor and feminist studies of service work. In this paper, we explore these tensions through the concepts of affective and emotional labor, and outline key insights these concepts offer for the design and evaluation of professional service robots. Taken together, an emphasis on interactionist approaches to emotions and on the demands of affective labor, leads us to argue that service employees are under-represented in existing studies in human–robot interaction. To address this, we outline how participatory design and value-sensitive design approaches can be applied as complimentary methodological frameworks that include service employees as vital stakeholders. [ABSTRACT FROM AUTHOR]

Knowledge graph is becoming an indispensable resource that offers structured information for numerous AI applications. However, the knowledge graph often suffers from its incompleteness. Building a complete, high-quality knowledge graph is time-consuming and requires significant human annotation efforts. In this paper, we study the Knowledge Graph Population task, which aims at extending the scale of structured knowledge, with a special focus on reducing data preparation and annotation efforts. Previous works mainly based on discriminative methods build classifiers and verify candidate triplets that are extracted from texts, which heavily rely on the quality of data collection and co-occurrance of entities in the text. However, such methods fail to generalize on entity pairs that are not highly co-occurred, and fail to discover entity pairs that are not co-occurred at all in the given text corpus. We introduce a generative perspective to approach this task and define each relationship by learning the data distribution that embodies the core common properties for relational reasoning. A generative model KGGen is proposed, which samples from the learned data distribution for each relation and can generate triplets regardless of entity pair co-occurrence in the text corpus. To further improve the generation quality while alleviate human annotation efforts, adversarial learning is adopted to not only encourage generating high quality triplets, but also give model the ability to automatically assess the generation quality. Quantitative and qualitative experimental results conducted on two real-world generic knowledge graphs show that the proposed model KGGen generates novel and meaningful triplets with improved efficiency and less human annotation comparing with the state-of-the-art approaches. [ABSTRACT FROM AUTHOR]

Due to an increasingly complex mixture of different types of public spaces and their functions in cities, the role of public spaces can be enhanced to serve users under certain circumstances. This paper examines Carmona's classification of urban spaces in Al-Baha, Saudi Arabia. Carmona introduces a classification that uses aspects of function, perception, and ownership to distinguish between space types. Twenty urban space types are recognized in four groups, representing a variety from clearly public to private space. The classifications of public spaces will be discussed to arrive at classifications for public spaces based on how public spaces are managed. The article builds an understanding of how such classifications relate to how real public spaces are provided today. In this case study, a Geographic Information System (GIS) map is created for Al-Baha Central District and includes the resulting classifications. From the 119 urban spaces selected to represent this study equally distributed across the study area, there are 12 types that public spaces match Carmona's classification. The classification of urban spaces for this case study revealed the complexity of public spaces' nature and the difficulty of distinguishing what is public. Public spaces tend to change and develop over time through other uses and activities. However, the classification of public spaces is a valuable tool that policymakers and planners can use to set comprehensive development plan programs and plan open space strategies. [ABSTRACT FROM AUTHOR]

Vehicle-to-vehicle (V2V) communications is an important technology in vehicular ad hoc network (VANET) to support autonomous data exchange among vehicles. Multiple V2V communications modes have been investigated for VANET, including dedicated short-range communications (DSRC) based on IEEE 802.11p and LTE-V2X, which are suitable for different packet transmission cases. In order to fully exploit the strengths of various modes, hybrid V2V communications strategies are designed in this paper, where each vehicle is allowed to choose different modes for different kinds of transmissions in separate frequency bands for transmission throughput improvement. Furthermore, since it is usually impractical to decide all the vehicles’ communications strategies globally due to high computational complexity and heavy overhead to broadcast the decisions, we model the selection of hybrid V2V communications strategies for vehicles as an evolutionary game. A strategy selection algorithm is then proposed, where each vehicle can select its hybrid V2V communications strategy locally based on its evaluation of the payoffs for different strategies and limited signalling from the base station. Simulation results demonstrate that the proposed algorithm can converge to an asymptotic stable state, which can improve the transmission throughput of vehicles, and is robust to the slight evaluation errors of payoffs and the strategy mutations of a few vehicles. [ABSTRACT FROM AUTHOR]

With the ever-increasing urbanization process, modeling people's spatiotemporal activities from their online traces has become a crucial task. State-of-the-art methods for this task rely on cross-modal embedding, which maps items from different modalities (e.g., location, time, text) into the same latent space. Despite their inspiring results, existing cross-modal embedding methods merely capture co-occurrences between items without modeling their high-order interactions. In this paper, we first construct two graphs from raw data records to represent the user interaction graph layer and activity graph layer and propose a hierarchical cross-modal embedding method that takes the high-order relationships into consideration. The key notion behind our method is a novel hierarchical embedding framework with meta-graphs connecting different layers. We introduce both inter-record and intra-record meta-graph structures, which enable learning distributed representations that preserve high-order proximities across graphs from different layers. Our empirical experiments on three real-world datasets demonstrate that our method not only outperforms state-of-the-art methods for spatiotemporal activity prediction, but also captures cross-modal proximity at a finer granularity. [ABSTRACT FROM AUTHOR]

The aim of this paper is to make a sociological study of the Castilian episcopacy in the reign of Enrique IV (1454-1474). We will analyse differents sociological aspects of the bishops, such as their number, appointment age, social and regional origins, education or their pre-episcopal careers. The ultimate goal is to move towards a better knowledge of the bishops as an ecclesiastical and power elite in late medieval Castile. [ABSTRACT FROM AUTHOR]

Like other scientific disciplines, sociology can be observed as a social system made up of researchers, institutions, journals and publishers. These relationships are established via conceptual communications which form networks that establish the way in which disciplined are organized. At present, the big data phenomena offers the capacity to use large data collections to analyse social processes. Big scholarly data sources offer sociology immense quantities of data useful to describe and study the evolution of scientific disciplines in detail. In this article we characterised the last thirty years of sociology through its publications in impact factor journals. To do this, we use data about the sociology journals from Journal Citation reports augmented with article information from Microsoft Academic Graph. The analysis starts by describing the journals, countries of origin, languages, publishers, the decades in which they appeared and their impact factor. After this, we evaluate the evolution of numbers of articles and citations as well as co-authorship and gender proportion. Subsequently, we establish four groups of journal types and study their differences in the previous dimensions using hypothesis tests. Finally, we represent the relationships between authors and journals using an affiliation network that allows us to detect groups of journals that form interesting thematic and geographic communities. The novelty of the work consists in having used a data source of the so called big scholarly data with more than 300 million publications. The paper also provides several strategies to select the data of interest among the millions of publications to reduce their dimensionality in order to represent them in the form of a network. The results show a discipline dominated by Anglo-Saxon countries and large publishing conglomerates. The most prominent journals dominate citations whilst methodological journals have a higher degree of co-authorship and thematic journals have the lowest gender bias. The affiliation network between authors and journals contains two large groups, one formed by the pioneering American journals together with quantitative methodological journals and another one made up of English and qualitative methodological journals. [ABSTRACT FROM AUTHOR]

The $k\text {-means}$ clustering problem concerns finding a partition of the data points into $k$ clusters such that the total within-cluster squared distance is minimized. This optimization objective is non-convex, and not everywhere differentiable. In general, there exist spurious local solutions other than the global optimum. Moreover, the simplest and most popular algorithm for $k\text {-means}$ , namely Lloyd’s algorithm, generally converges to such spurious local solutions both in theory and in practice. In this paper, we investigate the structures of these spurious local solutions under a probabilistic generative model with $k$ ground truth clusters. As soon as $k=3$ , spurious local minima provably exist, even for well-separated clusters. One such local minimum puts two centers at one true cluster, and the third center in the middle of the other two true clusters. We prove that this is essentially the only type of spurious local minima under a separation condition. In particular, any local minimum solution only involves a configuration that puts multiple centers at a true cluster, and one center in the middle of multiple true clusters. Our results pertain to the $k\text {-means}$ formulation for mixtures of Gaussians or bounded distributions, and hold in the over- and under-parametrization regimes where the number of centers in $k\text {-means}$ may not equal to the number of true clusters. Our theoretical results corroborate existing empirical observations and provide justification for popular heuristics for $k\text {-means}$ clustering. [ABSTRACT FROM AUTHOR]

In this paper, we trace a conceptual roadmap aimed at reconciling a life course perspective with the sociology of class and social inequality. We begin by presenting the life course perspective, reflecting on the central role it grants to processes of institutional regulation. Taking stock of critiques to both atomist explanations of agency and structural determinisms, we advocate for a longitudinal reading of how inequalities shape individual and collective trajectories, mobilizing concepts advanced by Pierre Bourdieu. We then demonstrate the potential of this approach to discuss how life course trajectories unfold in late modernity, drawing on recent research on Portugal. [ABSTRACT FROM AUTHOR]

Strictly speaking, Bourdieu did not develop specific works on emotions and affects. However, as we expect to show, the emotional dimension is an integral part of his perspective and a gateway to his reflections on power. With this premise, the objective of this paper is to analyze Bourdieu's perspective on symbolic power, based on the notion of illusio. Can illusio be understood as a mechanism of power and symbolic domination involving forms of emotional expression? Based on the analysis carried out, we support an affirmative answer to this question, assuming illusio as a principle of perception, emotional investment, adhesion and belief, by means of which the agents affectively commit themselves to the asymmetric logic of the fields in which they participate, moved by aspirational mechanisms from which they end up indirectly legitimizing the social order. [ABSTRACT FROM AUTHOR]