Police Procedurals' Construction of Unrealistic Images of Policing
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
Media representations, even fictional representations, of police can be vital in shaping perceptions of justice and may have implications for attitudes toward the police, public policy, and the psychological well-being of police officers. Most of the research in this area has focused on crime dramas situated in the U.S. Utilizing a content analysis of three years of 19-2, Rookie Blue, and Motive (three popular Canadian police procedurals), in this chapter, I will explore representations of police officers in terms of expectations to solve crimes, manage trauma, and work-life balance. The discordance between what many people have learned about policing on television (TV) compared to the reality of how police officers regularly perform their jobs may frame interactions between the police and the public in stress-inducing ways. The patterns of findings will be discussed in terms of how these representations may impact public expectations of the criminal justice system and the psychological well-being of police officers.
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 | 0.000 | 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 | 0.000 | 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