Global goals and suicide prevention in the Circumpolar North
Bibliographic record
Abstract
The purpose of this selective narrative review is to provide an overview of suicide and suicide prevention in the Circumpolar North and the relevance of global strategies and policies to these themes. We conducted a selective review of the English language literature on Arctic Indigenous mental health, suicide, and suicide prevention. We briefly present the social context, epidemiology, and risk and protective factors for suicide in the Arctic, with a focus on Indigenous peoples. We highlight a recent collaborative, intergovernmental response to elevated suicide rates in this region, the Reducing the Incidence of Suicide in Indigenous Groups - Strengths United through Networks Initiative, which used a consensus methodology to identify key outcomes for evaluating suicide prevention interventions in the circumpolar context. In relation to the Sustainable Development Goals, we examine recent policy developments in Indigenous-led suicide prevention and identify opportunities for strengthening policy, community interventions, and research. Globally, suicide prevention is a public health priority, and reducing the number of suicide deaths is a key target for sustainable development. Although overall and country-specific suicide rates have decreased since 1990, there remains wide variation at the regional and local level. This is particularly evident in the Arctic region known as the Circumpolar North, where Indigenous peoples experience marked disparities in suicide risk and suicide deaths compared to non-Indigenous populations. The factors that influence these variations are complex and often rooted in the social and economic consequences of colonization. The integration of science, community-based and Indigenous knowledge, and policies that address upstream risks for suicide will play an important role in suicide prevention alongside the growing number of Indigenous suicide prevention strategies tailored for specific populations.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".