Pathways to Attrition: A Qualitative Comparative Analysis of Justifications for Police Designations of Sexual Assault Complaints
Why this work is in the frame
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Bibliographic record
Abstract
The present analysis is a reframing of an earlier study conducted by the author to compensate for perceived deficiencies in previous studies on police decisions in sexual assault complaints. Specifically, qualitative comparative analysis was employed at the micro-social level to reveal justification scenarios, employed by investigating officers, which resulted in attrition at the police level. It was found that police employed the legal model in justifying “unfounded” designations while police employed both legal and extralegal models in justifying designations of “departmental discretion.” Further rese arch, expanding the database through interview s and participant observation, is necessary to fully explore justification scenarios for police designations of sexual assault complaints
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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 | 0.026 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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