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Record W2531734190 · doi:10.1177/0706743716661329

Suicide and Suicide Prevention among Inuit in Canada

2016· review· en· W2531734190 on OpenAlexvenueaboutno aff
Michael J. Kral

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2016
Typereview
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismHuman settlementSuicide preventionGovernment (linguistics)Depression (economics)Poison controlMental healthOccupational safety and healthGeographyPolitical scienceMedicineSocioeconomicsCriminologyEnvironmental healthPsychologyPsychiatrySociologyEcology

Abstract

fetched live from OpenAlex

Inuit in Canada have among the highest suicide rates in the world, and it is primarily among their youth. Risk factors include known ones such as depression, substance use, a history of abuse, and knowing others who have made attempts or have killed themselves, however of importance are the negative effects of colonialism. This took place for Inuit primarily during the government era starting in the 1950s, when Inuit were moved from their family-based land camps to crowded settlements run by white men, and children were removed from their parents and placed into residential or day schools. This caused more disorganization than reorganization. The most negative effect of this colonialism/imperialism for Inuit has been on their family and sexual relationships. Many Inuit youth feel alone and rejected. Suicide prevention has been taking place, the most successful being community-driven programs developed and run by Inuit. Mental health factors for Indigenous peoples are often cultural. It is recommended that practitioners work with the community and with Inuit organizations. Empowered communities can be healing.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.323
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations80
Published2016
Admission routes2
Has abstractyes

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