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This paper explores the limits to participation in community-based approaches (CBAs) for rock art heritage management. The construction of a tourism development project at a rock art site (Wildebeest Kuil, Kimberley, South Africa) in 2001 involved two San communities in order to provide economic and cultural support. Based on the assumption that CBAs are closely linked to participation issues, which are themselves linked to past inequalities, this article analyses the multiple obstacles to community participation despite the goodwill of managers and highlights the limits of CBAs from a critical analytical perspective. To do so, we build on qualitative data from field observations and semi-structured interviews with various stakeholders. Hence, by drawing a conceptualized framework from the Wildebeest Kuil example in CBAs for heritage management, we suggest focusing on the conditions that CBAs impose on the community participation that justify them. Finally, this article draws lines toward a sustainable perspective between CBAs and community participation, and may be transferred to other case studies. [ABSTRACT FROM AUTHOR]

The distinction between lipoma and well-differentiated liposarcoma (WDLPS), or "atypical lipomatous tumor" (ALT), is crucial as it impacts patient management. A group of European experts led by Benjamin Moulin recently issued a consensus report to define the role of radiology in managing these lesions. It describes an algorithm defining the criteria prompting a diagnostic biopsy of deep lipomatous tumors of the limbs and chest wall. The primary aim of this study was to evaluate the algorithm's diagnostic performance. Between 2012 and 2019, all biopsies of deep fatty tumors of the limbs or chest wall with a pre-biopsy MRI assessment were recorded at our institution. The MRI scans were reviewed by two radiologists. Each lesion was classified according to biopsy status by applying the algorithm of the European panel. The algorithm's diagnostic performance was assessed by calculating the sensitivity, specificity, positive predictive value and negative predictive value. Inter-rater agreement was also assessed. Of the 156 tumors in our study, 148 (94.9%) required a biopsy, and the algorithm's sensitivity for detecting ALT/WDLPS was 100% with specificity of 6.3% and a PPV of 20.3%. Inter-rater agreement was almost perfect with a kappa value of 0.882. The European algorithm demonstrates perfect sensitivity, an important criterion for a screening examination such as MRI in this setting. The algorithm's low specificity, however, emphasizes the need for further studies to redefine the optimum size cut-off value, especially for lesions without atypical criteria or an anatomical location at risk of post-surgical recurrence. [ABSTRACT FROM AUTHOR]

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Copyright of Civilisations is the property of Institut de Sociologie - ULB and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)