Race, Ethnicity, and Depression in Canadian Society
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 study examines racial/ethnic differences in mental health using data from the 1996-97 National Population Health Survey. Three hypotheses are tested. First, a socioeconomic hypothesis tests if differences in family income, education, and low income explain racial/ethnic mental health variation. Second, a social resources hypothesis tests if differences in social support explain racial/ethnic mental health variation. Finally, an interaction hypothesis tests if mental health variation stems from specific interactions of race/ethnicity with economic and social factors. Although there are socioeconomic, social resource, and interaction effects, the analysis shows that they do not fully explain racial/ethnic mental health variation. Overall, our results suggest that East and Southeast Asian, Chinese, South Asian, and black Canadians have better mental health than English Canadians. Jewish Canadians have poorer mental health than English Canadians. All other racial/ethnic groupings have similar mental health as English Canadians.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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