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Record W1738512249 · doi:10.18357/ijcyfs.thirad.512014

ABORIGINAL YOUTH SUICIDE PREVENTION: A POST-COLONIAL COMMUNITY-BASED APPROACH

2014· article· en· W1738512249 on OpenAlexvenueaboutno aff
Darien Thira

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2014
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmpowermentMental healthIntervention (counseling)Promotion (chess)PsychologyMedicinePolitical scienceNursingPsychiatry

Abstract

fetched live from OpenAlex

Aboriginal youth suicide is often understood as a (mental) health crisis, so that prevention efforts are designed to promote the early recognition and intervention that is appropriate for any biological disease. This article redefines Aboriginal youth suicide as a community crisis with a social cause (i.e., the impacts of colonization) and cultural “cure” rooted in the reclaiming of wellness through the contemporary expression of traditional values. Using the “Through the Pain to Wellness: Community-Based Suicide Prevention Program” (which has served Aboriginal communities across Canada for the last 20 years) as an example, an introduction to suicide pre-/inter-/post-vention using a post-colonial community resource model in offered. The program provides a blend of post-colonial consciousness raising (to enhance empowerment), mental health promotion (to enhance awareness), intervention skills training (to enhance capacity), and community development (to enhance wellness) in order to mobilize communities as they develop and implement a strengths-based suicide prevention strategy to promote individual, family, and community resilience in the face of suicide.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.059
GPT teacher head0.359
Teacher spread0.300 · 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

Citations13
Published2014
Admission routes2
Has abstractyes

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