Changements dans la repartition regionale des nouveaux immigrants au Canada
Bibliographic record
Abstract
Tant au Canada qu?aux Etats-Unis, on a constate recemment un accroissement de la dispersion regionale des nouveaux immigrants. Selon des etudes menees aux Etats-Unis, une combinaison de facteurs economiques ayant un effet d?eloignement (des Etats tels que la Californie) et de facteurs ayant un effet d?attraction (vers les Etats ou les emplois faiblement remuneres sont en croissance), ainsi que les changements de politiques et de reglements publics ont contribue a l?apparition de . Tres peu d?etudes ont ete menees afin de determiner quelles ont ete les causes de la dispersion des immigrants entrant au Canada. Le present document a pour objet d?evaluer l?importance relative des programmes de selection des immigrants et des regions d?origine des immigrants dans l?explication des changements dans la repartition regionale des nouveaux immigrants au cours des annees 2000.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".