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Record W2625362056 · doi:10.1186/s12888-017-1380-5

An Australian Indigenous community-led suicide intervention skills training program: community consultation findings

2017· article· en· W2625362056 on OpenAlexaff
Bushra Nasir, Steve Kisely, Leanne Hides, Geetha Ranmuthugala, Sharon L. Brennan‐Olsen, Geoffrey C. Nicholson, Neeraj Gill, Noel Hayman, Srinivas Kondalsamy‐Chennakesavan, Maree Toombs

Bibliographic record

VenueBMC Psychiatry · 2017
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsDalhousie University
FundersNational Health and Medical Research CouncilAustralian Research CouncilMedical Research CouncilAustralian Government
KeywordsIndigenousThematic analysisFocus groupSuicide preventionPoison controlIntervention (counseling)MedicineNursingQualitative researchEnvironmental healthSociologySocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Little is known of the appropriateness of existing gatekeeper suicide prevention programs for Indigenous communities. Despite the high rates of Indigenous suicide in Australia, especially among Indigenous youth, it is unclear how effective existing suicide prevention programs are in providing appropriate management of Indigenous people at risk of suicide. METHODS: In-depth, semi-structured interviews and focus groups were conducted with Indigenous communities in rural and regional areas of Southern Queensland. Thematic analysis was performed on the gathered information. RESULTS: Existing programs were time-intensive and included content irrelevant to Indigenous people. There was inconsistency in the content and delivery of gatekeeper training. Programs were also not sustainable for rural and regional Indigenous communities. CONCLUSIONS: Appropriate programs should be practical, relevant, and sustainable across all Indigenous communities, with a focus on the social, emotional, cultural and spiritual underpinnings of community wellbeing. Programs need to be developed in thorough consultation with Indigenous communities. Indigenous-led suicide intervention training programs are needed to mitigate the increasing rates of suicide experienced by Indigenous peoples living in rural and remote locations.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
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 head0.095
GPT teacher head0.414
Teacher spread0.319 · 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 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

Citations24
Published2017
Admission routes1
Has abstractyes

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