Women, violence and gray zones: resolving the paradox of the female victim-perpetrator
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article analyses the conflicting narratives surrounding the case of convicted Canadian offender Karla Homolka. As both a victim and a perpetrator of violent crime Karla’s actions are positioned precariously between activity and passivity. It is precisely because of this blurring of boundaries - between agency and victimization - that her case has received widespread critical discussion. Despite attempts to ‘recuperate’ her narrative (Morrissey, 2003; Thompson and Ricard, 2009), Karla still presents us with a paradox. There is a need then to unpack the relationship between Karla’s victimization (non-agency) and her criminal culpability (agency). This paper will consider whether or not Primo Levi’s (1988) concept of ‘gray zones’ can resolve this paradox.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it