“This was a Sexual Assault”: A Social Worlds Analysis of Paradigm Change in the Interpersonal Violence World
Bibliographic record
Abstract
This article presents a portion of my research on woman‐to‐woman sexual assault. Research was based on interviews with survivors and service providers who have worked with them. Transcripts underwent a grounded theory method analysis. The article considers how sexual assault service provision is changing as rigidly gendered discourses on sexual violence are challenged. It draws on Becker's social worlds approach, introducing the “Interpersonal Violence World,” the “Violence Against Women Subworld,” and the “Anti‐Violence Project Subworld.” These subworlds are notably distinguishable by their discourses on how violence and gender interact. Woman‐to‐woman survivors' interactions with the Violence Against Women Subworld often prove problematic, an issue the Anti‐Violence Project Subworld addresses.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.016 | 0.056 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.005 |
| 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".