Psychological Health Correlates of Perceived Discrimination among Canadian Gay Men and Lesbian Women
Bibliographic record
Abstract
Despite the growing number of studies investigating the association between perceived discrimination and psychological health, research of this kind is scarce in Canada. To begin addressing this omission, the present study documents the frequency of discriminatory events experienced by sexual minorities and their linkage with indicants of psychological well-being. Responding to an online survey, 348 self-identifying gay men (n = 177) and lesbian women (n = 169) completed measures of perceived discrimination, depression, psychological distress, life optimism, and self-esteem. Perceiving verbal insults and verbal threats were the most frequently cited incidents, and several statistically significant correlates of depression and psychological distress emerged. Exploratory analyses revealed that: (a) the association between depression and internalized homonegativity was greater in magnitude for lesbian women than for gay men; and (b) the associations between being the recipient of verbal insults and depression and psychological distress were greater for gay men than lesbian women. Limitations of the study and directions for future research are outlined.
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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 | 0.002 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".