Formation pour une intervention de réadaptation par les arts : un transfert de connaissances
Bibliographic record
Abstract
OBJECTIVES: To evaluate the implementation, processes and perceived efficacy of a pilot project of knowledge transfer in public health, which involves the training/supervision of new practitioners in an art-based rehabilitation program. This innovative evidence-based intervention seeks to promote the well-being of youth with mental disorders through circus and theater workshops. The purpose of this study is to provide a formative evaluation of this pilot project in order to improve the intervention and the knowledge transfer practices in public health. METHODS: This research is based on a participatory and mixed approach, with a ?triangulation-convergence? design, integrating a thematic analysis of qualitative data (semi-structured interviews and Focus Groups), a descriptive analysis of quantitative data (questionnaire of reaction) and a documentary compliance analysis (grid of activity monitoring). RESULTS: The results show that the knowledge transfer strategy has resulted in the training of practitioners who feel ready to take charge of the project, despite implementation gaps. The main barrier was the prolonged and unforeseen absence of project leaders, for reasons out of their control. Nevertheless, the motivation and commitment of the team members acted as a catalyst in this pilot project, which became a setting for discussion and experimentation of the knowledge transfer strategy. CONCLUSION: This study demonstrates the benefits of adopting a participatory approach and mixed method in the evaluation of knowledge transfer in public health, which would better capture the inherent complexity of social interventions.
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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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".