A Structural Analysis of Gender-Based Violence and Depression in the Lives of Sexual Minority Women and Trans People
Bibliographic record
Abstract
This article explores structural mechanisms that are the context for violence and depression in the lives of sexual minority women and trans people in Ontario, Canada. The article draws on interviews with 14 people who reported experiences of depression in the previous year, foregrounding three representative narratives. Narrative and case study analysis reveal that violence is a repeated and cumulative experience over lifetimes, occurring across different interpersonal contexts and institutional encounters. A common theme across the narratives is that experiences of violence are connected to a broader context in which structural arrangements, cultural norms, and institutional processes create conditions where marginalized people are put in harm's way, perpetrators are empowered, and justice and access to help are elusive. As the violence experienced by these sexual minority women and trans people is rooted in structural and cultural oppression represented in poverty, racism, misogyny, homophobia, and transphobia, the prevention of violence and its consequences for these and other marginalized populations requires systemic transformation of the structures and systems that currently allow and perpetuate harm.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| 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".