Building police legitimacy in a high demand environment: the case of Yukon, Canada
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
Purpose Police legitimacy has emerged as a core concept in the study of twenty-first century policing. The purpose of this paper is to contribute new knowledge by examining the dynamics surrounding policing legitimacy in a high demand environment in Northern Canada. Design/methodology/approach A case study approach was used to explore the historical and contemporary factors that contributed to the challenges surrounding the police-First Nations relations, how these challenges affected public confidence in, and trust of, the police, and how the communities, police, and government took action to address these issues. Findings The findings reveal that it is possible for the police, First Nations, and government in high demand environments to implement reforms and to create the foundation for police-community collaboration. The development of relationships based on trust and a continuing dialogue is important components in building police legitimacy. Research limitations/implications The study was conducted in one northern jurisdiction. The findings may apply to other jurisdictions where the police are involved in policing indigenous peoples. Practical implications The case study provides insight into the processes required to fundamentally alter the police-First Nations relations, to improve police service delivery in high demand environments, and to ensure that reforms are sustained. Originality/value Police legitimacy has been examined primarily in urban environments where police services have considerable capacities and there re-extensive networks of support from various agencies and organizations. The dynamics of policing in northern communities are appreciably different and present challenges as well as opportunities for improving police legitimacy.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it