Compétence interculturelle : adaptation d’un Modèle initial pour les directions d’établissement scolaire de langue française du Québec et du Nouveau-Brunswick1
Bibliographic record
Abstract
Cette recherche vise à adapter unModèle initialde la compétence interculturelle des directions d’établissement scolaire de langue française au Québec et au Nouveau-Brunswick. La méthode des entretiens de groupe a été employée lors de rencontres avec sept directions d’établissement au Québec et 17, au Nouveau-Brunswick. Une analyse de contenu a montré que, dans l’ensemble, les indicateurs des composantesConnaissances,AttitudesetHabiletésduModèle initialétaient bien adaptés au contexte des deux provinces. Cependant, six indicateurs ont été ajoutés afin de permettre une meilleure adaptation duModèle initialau contexte des dites provinces. Cette recherche permet donc de présenter unModèle adaptéde la compétence interculturelle des directions d’établissement scolaire de langue française au Québec et au Nouveau-Brunswick qui peut servir d’outil d’(auto)formation.
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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".