L'inegalite du revenu et le faible revenu au Canada : une perspective internationale
Bibliographic record
Abstract
Dans le present document, nous proposons un apercu des tendances de l'inegalite du revenu et du faible revenu au Canada dans une perspective internationale. Nous tentons notamment de repondre aux questions suivantes : - Apres quelques decennies de stabilite, l'inegalite du revenu familial est-elle en hausse au Canada? - L'inegalite du revenu au Canada est-elle faible ou elevee? - Le taux de faible revenu au Canada est-il faible ou eleve par rapport aux autres pays occidentaux? - Le regime d'impots et de transferts reduit-il davantage les taux de faible revenu au Canada qu'aux Etats-Unis ou dans les pays europeens? - Le taux et l'ecart de faible revenu ont-ils augmente au Canada au cours des deux dernieres decennies? - La hausse du taux de faible revenu des immigrants a-t-elle une incidence significative sur le taux global de faible revenu? - La plupart des periodes de faible revenu se prolongent-elles, et dans quels groupes se concentre la persistance du faible revenu? Pour repondre a ces questions, nous nous inspirons des resultats d'un certain nombre de documents.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".