The Death of Colin Roach and the Politics of Grief and Anger in Late Twentieth-Century Britain
Bibliographic record
Abstract
Abstract This article examines the death of Colin Roach in Stoke Newington Police Station, Hackney, in 1983, and explores the emotional politics of the campaigns that followed his death. These campaigns were focused on both determining the circumstances of Roach's death and highlighting tensions between the police and the Black community of Hackney. Using hitherto unpublished archival sources, local newspapers, and visual sources, the article documents racial politics in Hackney in the early 1980s and examines the relationship between race and policing at that time. The article argues that the experience and expression of grief and anger were critical to understanding the political problem of race and policing in London in the 1980s, to forming and mobilizing political communities, and to interrogating the power of the state. The article also argues that a critical element of the emotional economy around race in Hackney in 1983 was the indifference and lack of empathy of the police in Stoke Newington to ethnic minority communities. This lack of empathy not only illustrated the problem of race within the police force at this time but further fueled local campaigns to make the police accountable. This links the Roach case to a later turning point—the 1999 Macpherson inquiry into the murder of Stephen Lawrence, which characterized the Metropolitan Police as institutionally racist.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.044 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".