Frequency and factors related to substance use among Black individuals aged 15–40 years old in Canada: The role of everyday racial discrimination.
Bibliographic record
Abstract
OBJECTIVE: Despite evidence that Black individuals are confronted with various types of racial discrimination that put them at risk for alcohol and substance use disorders, no study in Canada has assessed the frequency and factors related to substance use in Black communities. This study thus aims to examine the frequency and factors related to substance use in Black communities in Canada. METHOD: A total of 845 Black individuals in Canada (76.6% female) completed questionnaires assessing substance use (i.e., alcohol, cannabis, and other drugs), everyday racial discrimination, resilience, religious involvement, and sociodemographic information. Multivariable regression analyses were used to determine factors related to substance use among Black individuals. RESULTS: < .001). CONCLUSIONS: Racial discrimination is associated with substance use among Black individuals in Canada. The study findings inform potential prevention and intervention strategies by examining protective factors related to substance use (e.g., religiosity, resilience, gender) among Black individuals. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 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".