L’approche narrative collective : conversations en échafaudage pour l’intégration identitaire des étudiants en entrepreneuriat social et durable
Bibliographic record
Abstract
Cet article invite à découvrir l’approche narrative collective comme éclairage de nos pratiques d’enseignements en entrepreneuriat social et durable. L’objectif pédagogique majeur du dispositif vise à développer la capacité des étudiants à intégrer leur identité : faire du lien entre soi - son individualité complexe riche de ses valeurs et de ses intentions ; les autres - ses équipiers, dans l’échange et l’interaction des travaux de groupe ; et le reste du monde - l’environnement où s’inscrivent ses actions avec l’intention d’y produire un impact. Par l’utilisation d’histoires, de métaphores et d’objets flottants tel que le photolangage, les participants co-construisent des interprétations communes, riches et inclusives. Elles portent sur des moments d’exceptions où le groupe prend conscience et confiance en ses ressources et sa capacité à faire face aux défis sociaux et environnementaux qui l’entourent.
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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 | 0.020 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.032 |
| Scholarly communication | 0.017 | 0.019 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".