Stories from Outside the Frame: Intimate Partner Abuse in Sexual-minority Women's Relationships with Transsexual Men
Bibliographic record
Abstract
This qualitative research study examined the relational experiences of sexual-minority women partners of female-to-male transsexuals (N = 20) using grounded theory analysis. This article reports data on abusive relationships reported by a subset of the sample (N = 5), representing a unique and under-studied population. It explores the theoretical constructions that are available from the mainstream anti-violence movement and those from the anti-violence writings of other marginalized communities. Sexual-minority women described abuse tactics by their trans men partners that were influenced by the particularities of their trans partner's identity and oppression, as well as the features of the activist communities of which they were a part. The research findings of this aspect of the study suggest that the context of a `first relationship' with a trans man, the social context of transphobia, and the traditional gender-based heterosexual model of relationship violence in which participants do not recognize themselves as victims of abuse all contribute to vulnerability to abuse. Clinical applications and community implications are discussed.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".