Narratives of Inuit inmates: Crime, identity and cultural alienation (Nunavut).
Bibliographic record
Abstract
The rates and nature of Inuit criminal activity are of great concern in the Nunavut Territory. Substance abuse and the victimization of women are particularly salient issues in Northern communities. Such problems are suggested to be a result of colonization processes, which have alienated Inuit individuals from their traditional knowledge and imposed upon them an unfamiliar system of justice. Presently, self-government strategies have been created to empower the Inuit's control of their own social structures. This is integral within the realm of criminal justice, as in the development of efficacious corrections it is imperative to understand the lived experiences of the Inuit. The present study has utilized grounded methodology to formulate theory derived from the Inuit inmates' perspectives of the justice system and treatment objectives. Participants from the all-male inmate population at the Baffin Correctional Centre were interviewed to determine their beliefs regarding identity, crime, rehabilitation, the roles of women, and their future. Recommendations for prevention and rehabilitation programming are provided toward an understanding of how to best facilitate the unique needs of the Inuit culture.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2000 .B87. Source: Masters Abstracts International, Volume: 39-02, page: 0411. Adviser: Michael Kral. Thesis (M.A.)--University of Windsor (Canada), 2000.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".