Minorité franco-nunavoise et majorité inuit: tensions et coopération dans les débats sur l’éducation
Bibliographic record
Abstract
S’appuyant sur des observations et des entrevues menées en 2008 à Iqaluit, capitale du Nunavut, cet article présente l’influence qu’exercent mutuellement l’une sur l’autre la majorité inuit et la minorité francophone, ce qui a pu être observé lors des débats qui ont précédé le vote de la Loi sur l’éducation en septembre 2008. À partir de cette relation et des orientations prises par la communauté francophone envers sa culture, cet article ouvre une réflexion sur l’enjeu que représente l’inclusion des valeurs inuit au programme d’enseignement en français, à la lumière de l’expérience des habitants du Nunavik. Je mettrai l’accent sur le cas particulier des jeunes franco-inuit du Nunavut qui se situent à la convergence des intérêts de la minorité francophone et de la majorité inuit.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".