Implantation d'un programme de formation en entrepreneuriat et ressources interorganisationnelles régionales : le cas du Québec
Bibliographic record
Abstract
Cet article s’intéresse à la nature et aux rôles des ressources communautaires qui appuient les programmes de formation en entrepreneuriat offerts en contexte scolaire. À partir d’une analyse en profondeur du processus d’implantation d’un programme de formation en entrepreneuriat dans 16 commissions scolaires du Québec, l’auteur met au jour, d’une part, les 10 étapes du processus d’implantation du programme et, d’autre part, les 13 catégories d’organisations qui soutiennent la formation étudiée. Ces résultats permettent la construction d’une mesure de la valeur des interactions socio-organisationnelles (VISO) pour mieux saisir le degré d’ouverture de l’école vers son milieu quand il est question de formation en entrepreneuriat L’article se termine par un débat sur l’utilité d’un tel indicateur.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".