Discharged for Homosexuality from the Canadian Military: Health Implications for Lesbians
Bibliographic record
Abstract
This study examines the short- and long-term psychological, physical and social health implications associated with pre-1992 investigations and eventual discharge of Canadian military servicewomen for reasons of homosexuality. Theoretically, it sheds light on the impact of the intersection between sexism and heterosexism. The feminist psycho-social ethnography of the commonplace methodology was utilized. The study draws on in-depth semi-structured interviews with 13 former military personnel who self-identified as lesbian. While in the military, study participants were persecuted and forced to adopt various cognitive and behavioural coping strategies to avoid being found out and discharged by the military’s Special Investigative Unit. Women reported that the relentless military surveillance, ongoing risk evaluation, and identity hiding contributed to psychological, physical and social health effects, including high stress, physical exhaustion, depression, substance abuse and social isolation. The criminal code’s definition of torture and the literature regarding the effects of stalking on victims provide context for the results. The discussion presents policy recommendations aimed at repairing the psychological damage that discharged lesbian service members suffered.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".