Police spokespersons: A question of organizational representation
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
Police spokespersons exist at the core of organizational representation: they are selected to represent their agencies at all levels of engagement on all public platforms. Given their repeated exposure via traditional and electronic media, perceptions of spokesperson characteristics may impact perceptions of police and police organizations more broadly. Using online search queries of publicly available sources, we collected data for 612 spokespersons from 514 municipal police agencies across the United States. Our analyses reveal that spokespersons are overwhelmingly sworn, White men who are middle-aged and mid-rank. Our analyses also reveal some bivariate relationships between spokesperson characteristics (e.g., gender and employment status) and some variation among characteristics across states (e.g., Texas versus Ohio). By identifying and describing spokesperson characteristics at both national and state levels, we extend historical research regarding police spokespersons, contribute to the scholarly understanding of police representation practices, and theorize the relationships between spokespersons, organizations, and contemporary policing issues.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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