The Victimization of Criminalized Women and Trauma Trails: Pathways to Criminalization and the Dichotomy of the Victim/Offender Continuum
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 paper explores the victimization/criminalization dichotomy as women who are criminalized are often marginalized and have extensive histories of trauma; they have often experienced victimization through abuse, colonialism, familial instability, poverty, addiction, and mental health struggles. The trauma women experience further informs their life courses, and in many instances results in further victimization. The ways in which the criminal justice system and correctional institutions contribute to the victimization of women is addressed. There is no catch-all solution to the issues that contribute to the criminalization of marginalized women—many of the challenges that they face are multifaceted and systemic. Despite this, criminalized women cannot only be considered victims of circumstance, and their voices are necessary to improving the system that perpetuates their marginalization.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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