Immigration, faible revenu et inegalite des revenus au Canada : Quoi de neuf durant les annees 2000?
Bibliographic record
Abstract
Au cours des annees 1980 et des annees 1990, l'immigration etait associee a la hausse des taux de faible revenu et de l'inegalite des revenus familiaux au Canada. Durant les annees 2000, le marche du travail et le processus de selection des immigrants ont fait l'objet de changements importants. Le present document traite de l'effet direct de l'immigration sur l'evolution en matiere de faible revenu et d'inegalite des revenus familiaux au cours de la periode allant de 1995 a 2010. Le document decrit les tendances recentes des taux de faible revenu et d'inegalite des revenus chez les Canadiens de naissance ainsi que les immigrants. Au Canada, le taux de faible revenu a diminue au cours des annees 2000. Cette baisse a-t-elle ete dictee en partie par des variations des resultats economiques des immigrants en matiere de revenu? L'inegalite des revenus a augmente considerablement a la fin des annees 1990. L'immigration a-t-elle contribue a cette augmentation?
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".