L’entrepreneuriat coopératif pour développer l’identité professionnelle
Bibliographic record
Abstract
"Afin de contribuer à l’effervescence du milieu éducatif collégial, le Conseil québécois de la coopération et de la mutualité (CQCM) vous propose un atelier actif qui vous permettra d’expérimenter un modèle pédagogique engageant et d’en apprendre davantage au sujet de l’entrepreneuriat coopératif. L’enseignement et l’utilisation de ce modèle, dans une diversité de programmes de formation, auront pour effet d’offrir une zone d’exploration aux étudiants et étudiantes qui sont en recherche de leur projet d’étude. Lors de cet atelier, la pertinence de la coopération en classe vous sera démontrée et vous aurez également la chance de vivre une expérience qui contribuera certainement au développement et au bienêtre de la communauté collégiale." -- AQPC
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.074 | 0.011 |
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".