Depression in Lesbian, Gay, and Bisexual Members of the Canadian Armed Forces
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
PURPOSE: Lesbians, gay men, and bisexuals have been shown to have different risks for mood and anxiety disorders than heterosexuals in population studies, but there is a paucity of research in this area in military populations. This study examined the relationship between sexual orientation and depression in the Canadian Armed Forces (CAF). METHODS: Data were drawn from the Canadian Forces Mental Health Survey 2013 (n = 8165), a representative sample of Regular and Reserve members of the Canadian military. Binomial logistic regression was used to predict 12-month and lifetime odds ratios for major depressive episode (MDE) stratified by sexual orientation and sex. RESULTS: Gay male members had higher risk (AOR = 3.80, 95% CI 1.60-9.05) for lifetime MDE, but not for past 12-month MDE compared to heterosexual males. There was no significant difference in risk for lesbians or bisexuals compared to heterosexuals. CONCLUSIONS: The results suggest that gay male members of the CAF are at higher risk for a history of MDE, but not current MDE. This may be a result of ongoing discrimination and stigma faced by gay men in the military or may reflect MDE that occurred before military service. The lack of difference in MDE risk for lesbian and bisexual members compared to heterosexual members is an important positive finding.
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 | 0.000 | 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 | 0.000 | 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