Destabilizing homonormativity and the public/private dichotomy in North American lesbian domestic violence discourses
Bibliographic record
Abstract
Developing and circulating community-based educational materials and offering workshops are common feminist approaches to addressing violence in lesbian relationships. This article explores the racialized exclusions in the public/private dichotomy in community-based educational discourses about ‘lesbian domestic violence’. An examination of community-based educational materials and interviews with lesbian and queer feminist educators illustrates how the public/private dichotomy produces exclusions and makes certain forms of violence enacted on certain bodies unthinkable and unintelligible. While these discourses challenge heteronormative constructions of violence, they have relied on a simple conceptual framework that has had the effect of promoting a dominant narrative or regime of truth privileging white, middle-class lesbian experiences. This article seeks to destabilize homonormative constructions by arguing for an anti-colonial feminist spatial analysis of violence in same-sex/gender relationships.
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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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.067 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.009 |
| 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".