Projections de la population des Indiens inscrits du Canada, 1991-2015
Bibliographic record
Abstract
Cet article présente les plus récentes projections de la population des Indiens inscrits du Canada. Un Indien inscrit est une personne qui, conformément à la Loi sur les Indiens, est inscrite ou a le droit d'être inscrite comme Indien dans le registre du ministère des Affaires indiennes et du Nord Canada (MAINC). Les projections ont été faites par la méthode des composantes régionales (les tendances de ces dernières ayant été analysées pour 1975 à 1990). Les données utilisées proviennent du registre du MAINC, et des corrections ont été effectuées pour le sous-enregistrement et l'enregistrement tardif des événements. Les réinscriptions qui ont suivi les amendements apportés à la Loi sur les Indiens en J 985 ont été prises en compte. Le résultat montre que la population des Indiens inscrits du Canada continuera d'être jeune et en croissance rapide au cours de la période 1991-2015.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".