Bibliographic record
Abstract
“If the populations of ‘mainland’ Canada, Denmark and the United States had suicide rates comparable to those of their Inuit populations, national emergencies would be declared” (Upaluk Poppel, 2005). Nunavut has the highest rate of youth suicide in Canada, and yet there are very few resources allocated to solving this problem. From 1993 to 1997, the suicide rate in Nunavut was 88 people per 100,000, compared with 13 for the rest of Canada. The suicide rates for Inuit men in Nunavut are ten times higher than the national rate in Canada. Inuit youth end their lives for various reasons, some of which are preventable. This research investigates the potential causes of suicide in Nunavut and analyzes various factors such as colonization, residential schooling, poor parenting, violence, and alcohol abuse. Initiatives by both government and non-governmental organizations have been aimed at lowering suicide rates by, for example, limiting the means of suicide. Suicide rates in the UK were drastically reduced when the government replaced the use of toxic coal with non-toxic natural gas for domestic use, so people could no longer poison themselves by putting their heads in the gas ovens. I argue that, although this may be a way to reduce suicide rates, it is a temporary solution which does not address the root causes of the problem. I make policy recommendations for some of the problems that the Nunavut population currently faces.
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 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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".