Policing, Recognition, and the Bind of Legal Cynicism
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
Abstract We draw on a unique dataset of 60 semi-structured interviews with recently arrested suspects in Cleveland, Ohio, a city currently under federal consent decree due to police use of excessive force. Through these interviews we shed light on an apparent paradox in research to date—that residents of disadvantaged communities are deeply skeptical about policing, while still believing that the police remain a viable institution for seeking security in their communities. By connecting research on legal cynicism with insights from cultural sociology and the sociology of law, we find that respondents make meaning of this apparent paradox – and the resulting bind in which they find themselves – by stressing the promise of law that underwrites a transformative potential of policing. Through these ideals of legality, residents aspire to material and symbolic forms of recognition from law enforcement, ranging from police presence and safety, to expressions of understanding and feelings of worth. We propose that this desire for broad recognition is central to how suspects make sense of their reliance on police, and we suggest further research into how this struggle for recognition provides a cultural approach for understanding social inequality and its intersection with legality and criminal justice.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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