"La représentation des autochtones et des francophones du Canada dans les manuels scolaires du programme d'histoire du ministère de l'éducation de l'Ontario (1977-1985)"
Bibliographic record
Abstract
Ce mémoire explore les ressources pédagogiques utilisées dans les écoles franco-ontariennes \ndans les cours d’histoire de la 7e \nà la 10e \nannée durant les années 1977-1985. Nous nous \nconcentrons sur la représentation des francophones du Canada et des peuples autochtones dans \nces ressources en raison de leur statut de minorités nationales. Suivant une époque de \ntransformation identitaire chez les francophones hors Québec et une époque de revendications \ngrandissantes du côté des peuples autochtones, les ressources mises de l’avant par le ministère \nde l’Éducation de l’Ontario privilégiaient malgré tout un récit historique officiel qui excluait la \nperspective franco-ontarienne et la perspective autochtone.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".