Change or be changed: Diagnosing the readiness to change in the Canadian police sector
Bibliographic record
Abstract
Concerns have emerged over the readiness of police agencies to adapt to change. To better understand why this might be the case, we used Lewin’s theory of change and an emic methodology to investigate the internal and external forces for and against change within this sector. Using a qualitative methodology we analysed the data from 103 interviews with key police and community stakeholders to identify the drivers and barriers to planned change. Examination of the resulting force field diagram revealed that: (1) community stakeholders feel the forces for change exceed the barriers, while police stakeholders perceive the reverse, (2) strong drivers of change are largely external to the police service, (3) key barriers to change were internal to the police service, and (4) police culture is a strong barrier to change. We end by offering suggestions on how this information can be used to manage change in this sector better.
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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 | 0.021 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.016 | 0.010 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".