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Record W1967340002 · doi:10.3402/ijch.v68i3.18330

Canadian Inuit community engagement in suicide prevention

2009· article· en· W1967340002 on OpenAlexafffundabout
Michael J. Kral, Patricia K. Wiebe, Kari Nisbet, Catherine Dallas, Looee Okalik, Nubiya Enuaraq, James Cinotta

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsInuit Tapiriit KanatamiHealth CanadaUniversity of Toronto
FundersCanadian Institutes of Health ResearchMount Sinai Health System
KeywordsGovernment (linguistics)Suicide preventionMental healthAutonomyPoison controlGeneral partnershipEmpowermentCommunity engagementHuman settlementPolitical scienceOccupational safety and healthNarrativeMedicineGeographyEnvironmental healthPublic relationsPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: To review suicide patterns among Inuit in Canada and highlight new developments in Inuit-driven and community-based suicide prevention. Study design. Narrative overview of suicide among Inuit in Canada, strides towards Inuit autonomy, and community and government action towards suicide prevention. METHODS: Review of Inuit meanings of mental health, movements towards Inuit control across Inuit Nunaat (the 4 Inuit regions) of Canada, and of community and government action towards suicide prevention. RESULTS: Economic advancement is occurring in Inuit Nunaat following land claim settlements, and territorial and provincial governments are overseeing Inuit well-being. Inuit community engagement in suicide prevention is taking place and studies are being planned to evaluate the efficacy of such action for suicide prevention and community mental health. Initial evidence demonstrates that community control over suicide prevention itself can be effective towards preventing suicide. CONCLUSIONS: A new orientation is taking place in Canada in the name of Aboriginal community empowerment. There is a new hope for the model of meaningful community engagement and partnership with the Canadian government in suicide prevention and well-being.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.097
GPT teacher head0.449
Teacher spread0.352 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations84
Published2009
Admission routes3
Has abstractyes

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