Racial Animus, Police Corruption, and a Wrongful Conviction of Murder
Bibliographic record
Abstract
It is one thing to faithfully report and investigate police corruption; it is another thing to effectively punish abusive officers and the institutions that support them. A third, arguably the most fundamental concern of all, is to understand why these officers, and the infrastructures that protect them, rarely face repercussions for their crimes and the catastrophic psychological traumas that they inflict. The case described herein – a wrongful conviction of murder (1991) that was eventually overturned (2010) and then successfully litigated for restitution (2021) – provides a vivid narrative of prosecutorial misconduct, and the consequent psychological anguish of a survivor, as informed and articulated by participant-observers. Our hope is that by doing so, we can facilitate an understanding for, and empathy with, the trials and tribulations of victims of color who have suffered tremendously from police corruption and wrongful convictions.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".