Black and blue: deconstructing Defund the Police
Bibliographic record
Abstract
The demand to address police racism by ‘defunding the police’ echoed on- and offline in the summer of 2020 following the police murder of George Floyd, but it has not always been clear what defunding the police entails. Through an analysis of 300 stories posted on CBC News and CTV News websites in 2020–2021, this study addresses the construction of the Defund the Police campaign in Canadian news media. Black Lives Matter organized their Defund the Police campaign as a demand for: (1) alternatives to police services; (2) decriminalization; and (3) disarmament, demilitarization and technology. Yet, news media prioritized calls for alternatives to police services, while providing less attention to disarmament, demilitarization and technology demands, and largely excluding decriminalization from defunding conversations altogether. The news media constructed the Defund the Police campaign around three fluid interpretations: defunding as a call to remove and abolish police, as a call for budgetary reallocation and alternatives to police, and as a call for police reform and accountability. Support for a reallocation and alternatives interpretation of defunding was most prominent within the news media, suggesting that police budget cuts in favour of community supports will be the focus of defunding policy in the future.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".