RCMP Officers Posted to Nunavut Communities: Exploring the Policing and Private Life Challenges of Qallunaat Police in Inuit Nunangat
Bibliographic record
Abstract
As a result of a signed agreement between the Government of Canada and Nunavut, the Royal Canadian Mounted Police (RCMP) is contracted to police Nunavut hamlets. This iteration of contracts began when the Territory was formed in 1999 and involves the recruitment of Regular Members from across Canada. To better understand the experiences of these Members, this thesis project engages with the literature on rural and remote policing, and explores the uniqueness of policing in Nunavut (Ruddell & Jones, 2018). Inspired by informal Member comments about the “harsh reality” of these posts, this project investigates accounts of everyday policing in several hamlets. Through a qualitative approach, specifically semi-structured interviews, and framed by Settler Colonialism theory and Bourdieu's theory on Habitus, this project applies “policing habitus” to understand the daily living and working conditions of police officers in Nunavut. The analysis shows that officers identify a number of obstacles in their “field” of work, including insufficient resources for the communities of Nunavut, a complex array of responsibilities and requests that fall outside of police duties and yet to them, the complexities of negotiating relationships in small hamlets, and the frustration of feeling as though they are a “band-aid” solution to deep and historical issues. The thesis concludes with a series of policy recommendations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.044 | 0.016 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".