What Will it Take for Them to Hear Us?: Reacting and Not Reacting to Inuit Youth Suicide.
Bibliographic record
Abstract
Suicide among Inuit youth is a preventable public health crisis, but the question is: a crisis for whom? For nonIndigenous people in Canada, it may be known that suicide is a significant issue in Inuit communities. Regardless, what is the impact of reading that, in some areas, the rates for suicide are 25 times higher than the Canadian average, and in one small village of 1,800 up to 11 young Inuit died by suicide in one year? This is a decades-old issue, where one Inuk youth finally asked: What will it take for them to hear us? This article gets to the root of why we may not be listening, names what barriers there are to change, and elevates the voices of Inuit youth who are leading the way. It is through them that Inuit youth suicide can become a more meaningful, relevant and pressing concern for us all.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".