La francophonie canadienne dans toutes ses couleurs et le défi de l’inclusion scolaire
Bibliographic record
Abstract
Dans la littérature, il y a encore peu de mention ou de prise de position concernant l’inclusion sociale des élèves, surtout en milieu francophone en situation linguistique minoritaire. Pourtant, des élèves vivant des défis moins visibles, moins reconnus ou acceptés, risquent d’être minoritaires dans de multiples situations. Les auteures de cet ouvrage dressent un portrait des communautés scolaires francophones, surtout en milieu minoritaire, tout en faisant écho aux expériences et aux perspectives qui font rarement partie des discours dominants. On y trouvera une discussion sur la notion d’inclusion, un portrait global des initiatives actuelles en inclusion scolaire francophone au Canada, ainsi que des réflexions portant sur les relations entre le Moi et l’Autre, aussi bien au plan des identités ethnoculturelles que des orientations sexuelles.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.020 | 0.018 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".