The birth of an organisational field: the institutionalisation of civilian crisis response services in the de-tasking era
Bibliographic record
Abstract
Civilian-led, non-police crisis response services – which attend mental health crises that previously had received uniformed police response in many jurisdictions – have multiplied substantially alongside widespread calls for ‘de-tasking’ of police. Yet, these services inevitably engage in forms of ‘policing’ in both practical and sociological terms, if we understand policing to involve reducing harms and maintaining order under the shadow of police (state coercive) power. Seeing the rapid expansion of these services as the birth of a new organisational field, following organisational and institutional theories, this paper delineates possible futures of these services as they coalesce into increasingly isomorphic forms. The paper then considers the potential bases of legitimacy, organisational ethos and accountability that will develop around these services, and sets out challenges that the organisational field will face if it is to avoid becoming an extension 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 | 0.030 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.019 | 0.084 |
| Scholarly communication | 0.021 | 0.014 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".