"Sortir du cadre" : les formes multiples des relations éducatives et de participation grâce aux alliances écoles-familles-organisme communautaire, une étude de cas.
Bibliographic record
Abstract
Several studies suggest that community organizations can offer enriching learning opportunities to youth. Such opportunities, if well-structured and mediated, can build on youths’ strengths and interests and help them develop to their full potential. In this paper, we offer a case study of “ruelle de l’avenir”, a community organization that offers in-school, afterschool and community-driven activities for children, youth, families and schools. We do so through a study of learning in movement, and by centering the emergence of learning and becoming within different activities with a focus on the forms of relations and participation that emerge through agentive acts by its participants. We offer illustrations of it through a qualitative study and synthesis of what participating teachers valued, supplemented by vignettes of some of the activities that make evident forms of relations and participation that emerged in the school, family and youth activities. We also attend to the manner some youth navigated the opportunities part of the learning ecology “ruelle de l’avenir” and show how moments of participation in different activities over time can lead to a rich learning trajectory and ambitious future aspirations. In closing, we challenge current epistemologies, ontologies, and axiologies, and call for a holistic understanding of learning and becoming as already put forward by sociocultural theory.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.014 | 0.038 |
| Scholarly communication | 0.016 | 0.019 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".