What's the gang wearing?: An exploratory and descriptive analysis of police gang uniforms
Bibliographic record
Abstract
Previous studies on police uniforms have found uniform color and style continue to evolve as do the dynamics around police uniforms and citizen impression. Given no research has been done specifically on police gang unit uniforms, this study was exploratory and aimed to determine if there was a visual standard regarding the operational appearance of police gang unit uniforms in Canada and the United States. Using targeted and purposive sampling the researcher collected 64 samples of digital images containing police gang unit officers in uniform for content analysis. The analyzed data yielded quantitative statistics that were applied to the primary research question. These statistics found that police gang unit officers in Canada and the United States are most likely to deploy in a unit-specific police uniform, that is black in color, visually identifies as a gang unit (by patch or crest), and be wearing external body armor that is black in color. The researcher suggests the study’s findings be applied to further research to determine the potential implications police gang crime unit uniforms may have on citizen impression. All of which contributes to the ongoing debates around the militarization of the police.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".