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The purpose of this study was to understand the developmental experiences that unfold in youth development contexts, and why they matter for character development. Drawing on pre- and post-program data provided by 846 adolescents (47% female, 63% youth of color), this paper empirically investigated the role of three developmental experiences―developmental relationships, critical reflection, and intrinsic program engagement―in promoting civic, moral, intellectual, and performance character strengths in a conservation context in the United States. Results provide robust evidence of the pervasive power of all three developmental experiences, and especially youth-adult developmental relationships and critical reflection, in promoting key elements of character. Specific suggestions are described for organizational action to invest strategically and systematically in these program features to support young people's character development. [ABSTRACT FROM AUTHOR]

Recent research found that fine‐tuning pre‐trained models is superior to training models from scratch in just‐in‐time (JIT) defect prediction. However, existing approaches using pre‐trained models have their limitations. First, the input length is constrained by the pre‐trained models.Secondly, the inputs are change‐agnostic.To address these limitations, we propose JIT‐Block, a JIT defect prediction method that combines multiple input semantics using changed block as the fundamental unit. We restructure the JIT‐Defects4J dataset used in previous research. We then conducted a comprehensive comparison using eleven performance metrics, including both effort‐aware and effort‐agnostic measures, against six state‐of‐the‐art baseline models. The results demonstrate that on the JIT defect prediction task, our approach outperforms the baseline models in all six metrics, showing improvements ranging from 1.5% to 800% in effort‐agnostic metrics and 0.3% to 57% in effort‐aware metrics. For the JIT defect code line localization task, our approach outperforms the baseline models in three out of five metrics, showing improvements of 11% to 140%. [ABSTRACT FROM AUTHOR]