Gay men at work: a qualitative study of workplace anti-gay violence in St. John's, Newfoundland
Bibliographic record
Abstract
This research project explores the gay male experience with violence in paid employment in St. John's, Newfoundland. Researchers have paid scant attention to the range of violences in work organizations that are directed at gay men because of victims' sexual orientation. The literature on anti-gay violence tends to ignore or minimize the experiences of gay men in paid employment. This thesis is an attempt to help remedy this gap in knowledge. -- Interviews were conducted with twenty-two, self-identified gay men. The sample was obtained in a non-random fashion. The research instrument consists of ninety-four open- and closed-ended questions. Respondents report personal experience with a variety of anti-gay violences in paid employment based on sexual orientation. These violent acts include verbal insults and epithets; threats of various sorts including death threats and threats of physical violence; physical assault and sexual assault. Respondents claiming personal experience with anti-gay violence also report negative mental health consequences: reports of fear, intimidation, anger and low self-esteem were common. -- The author advances a complex theoretical model to explain and understand the social problem that is workplace anti-gay violence. It is argued that heterosexist sentiment, disclosure of sexual orientation, structural features of work organizations and power imbalances may interact and give rise to incidents of violence against gay men at work. I also argue for a structural analysis of anti-gay violence in paid employment. The data suggest that incidents of anti-gay violence in work organizations are not random. A number of possible risk factors have been identified. These risk factors or correlates include employment in the hospitality-service industry, employment in mostly private sector workplaces, and employment in managerial positions.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".