The Relative Earnings of Visible Minorities in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article presents new evidence on the relative earnings of visible minority immigrant and native-born paid workers in Canada using data from the 1996 Census. Our findings show that labour market disadvantages associated with visible minority status are largely confined to immigrant men. The earnings deficits imputed to minority native-born men and immigrant women are fairly modest, and it appears that native-born women are paid a premium. Among immigrant men, labour market disadvantages are apparent primarily among those who were older when they arrived in Canada. There is some evidence that foreign work experience is relatively undervalued, but there is little evidence that immigrants receive lower compensation for foreign-based schooling. Finally, our analysis of individual ethnic minority groups reveals that Black men are most profoundly affected by labour market discrimination: The earnings deficit they must contend with is both significant and inter-generationally persistent.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it