“I’ve Never Been Straight Up Robbed Like That”: Resident Perceptions and Experiences of Inner-City Police Raids
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
Empirical research has consistently demonstrated that residents of disadvantaged and racialized inner-city neighborhoods across North America are subjected to disproportionate and omnipresent policing. Consequently, relationships between law enforcement officials and marginalized community members are often strained. Whilst a robust body of literature has examined how citizens perceive âevery dayâ policing practices such as âcarding,â stop and search, etc., it remains unclear how citizens perceive more invasive policing encountersâsuch as police raids. Drawing upon 35 interviews with residents of Torontoâs inner-city, this paper explores how community members experience, make sense of, and talk about police raids. Our data uncover widespread perceptions of nefariously motivated police misconduct, raise questions about how residents anticipate and expect police to treat them, and highlight nuances in how these experiences shape police legitimacy views. We argue that how residents perceive police to behave during raids matters, as this can damage perceptions of police legitimacy for some residents, while merely reaffirming existing views for others.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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