A CONCEPTUAL AND METHODOLOGICAL FRAMEWORK FOR DESIGNING AND EVALUATING COMMUNITY‐BASED AFTER‐SCHOOL ART PROGRAMS
Bibliographic record
Abstract
Abstract The objective of this paper is two‐fold. First, various perspectives that have been adopted in the discursive context of the benefits of engaging children and youths in artistic endeavors are examined. Second, in the hope of maximizing the quality of arts programs that enrich the lives of youth, a conceptual and methodological framework for the development of community‐based art programs for youth is presented. The aim is to provide a clear way to conceptualize and operationalize arts programs, and to delineate methods for the evaluation of their effectiveness. KEYWORDS: youthcommunity‐based arts programsafter‐school programsdesignmanagement and evaluation ACKNOWLEDGEMENTS This work was generously supported by funds from the Samuel and Saidye Family Foundation, Montreal, Quebec and was carried out at the School of Social Work, McGill University, Montreal, Quebec.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".