Perceived Racism and Mental health: A look at the role of Gender and Socio-Economic-Status as potential moderators of this link in Canadian Caribbean Adolescents
Bibliographic record
Abstract
The present investigation had two main objectives (1) to assess the effects of socio-economic-status, perceived racism & gender on Caribbean adolescent mental health and (2) to examine the moderator effect of S.E.S and gender on the link between perceived racism and mental health. (N=118) Caribbean families from Montreal participated in the study. Racism and adolescent mental health was assessed using the Personal Experience of Racism Scale, Youth Self Report & Child Behavior Check-List. Results highlighted the complex relationship between perceived racism and mental health as the model associated with gender and perceived racism predicted 22% of the variance on internalizing symptoms (R2=0.22). Specifically, results revealed that males externalized while females both internalized and externalized their experiences of racism. It is hypothesized that females may be more affected because parents may spend more time racially socializing their sons, as they are believed to be more heavily targeted for racism than black females.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".