Predicting police contact: Exploring the impact of legal cynicism on residents’ willingness to contact the police
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
Research on legal cynicism – the perception that the law and law enforcement officers are illegitimate , unresponsive , and ill-equipped – reveals a complex and heavily nuanced relationship between civilians’ perceptions of the police and their engagement with police services. While legal cynicism is said to reduce civilian crime reporting, it has not always been shown to dissuade civilians from contacting the police for help. Drawing upon data from the United States 2020 Police-Public Contact Survey, this study establishes legal cynicism as a facet of residents’ cultural repertories about the law and the legal system (i.e., a ‘toolkit’ residents draw on to guide their behaviour). Legal cynicism predisposes an unwillingness to contact the police for help in the future. This study grounds past scholarship by utilizing a specific measure for the three facets of legal cynicism, offers critical insight into the evolution of legal cynicism, and argues for practitioners to expand upon procedural justice strategies to improve police-community relations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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