La construction de savoirs d'expérience chez des intervenantes d'organismes communautaires pour femmes sans-abri : un processus participatif, collectif et non planifié1
Bibliographic record
Abstract
Cet article présente les résultats d'une étude portant sur la description du processus d'apprentissage expérientiel d'intervenantes oeuvrant dans des organismes communautaires pour femmes sans-abri. L'analyse des données révèle que les savoirs d'expérience de ces intervenantes se construisent progressivement, à travers un processus de réflexion sur l'action suscité par des situations problématiques qui surgissent de la pratique. L'analyse met également en relief le rôle central du collectif d'intervenantes dans la construction de ces savoirs. Ces résultats permettent de revitaliser le concept d'apprentissage expérientiel : plutôt qu'un processus individuel de production de savoirs, il est possible de l'envisager sous l'angle d'une co-construction de savoirs à laquelle participent des actrices concernées par un même objet.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".