Défis de l'éducation chez les Premières nations et les Inuit
Bibliographic record
Abstract
Ce premier numéro des Cahiers du CIÉRA fait suite aux discussions menées\nlors du colloque annuel 2007 du Centre interuniversitaire d’études et de recherches\nautochtones et de l’Association étudiante autochtone de l’Université Laval sur le\nthème Éducation et formation autochtones : enjeux et perspectives.\nLors de ce colloque, qui s’est déroulé les 12 et 13 avril 2007 à l’Université\nLaval, des chercheurs et des étudiants, des Inuit et des membres des Premières\nnations ont partagé différents points de vue sur la question de la transmission des\nsavoirs. Les intervenants ont présenté des projets communautaires et des projets de\npartenariat entre universités et communautés, ainsi que des exemples de\nprogrammes et d’initiatives réussies au postsecondaire. Ils ont discuté de la place\nde la langue dans l’éducation et abordé la question de la formation des enseignants\net des adultes des communautés. Cet ouvrage offre une sélection de quelques\ncontributions multidisciplinaires sur ces thématiques.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".