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Record W3021717261 · doi:10.1177/1363461520923151

Advancing Indigenous Mental Health Research

2020· article· en· W3021717261 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTranscultural Psychiatry · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsIndigenousMental healthCLARITYPsychological resilienceSociologyEnvironmental ethicsResilience (materials science)Engineering ethicsPsychologySocial psychologyPsychiatryEcology

Abstract

fetched live from OpenAlex

point the way toward meaningful advances in mental health research pertaining to Indigenous peoples, illuminating the distinctive problems and predicaments that confront these communities as well as unrecognized or neglected sources of well-being and resilience. As we observe in this introductory essay, future research will benefit from ethical awareness, conceptual clarity, and methodological refinement. Such efforts will enable additional insight into that which is common to Indigenous mental health across settler societies, and that which is specific to local histories, cultures and contexts. Research of this kind can contribute to nuanced understandings of developmental pathways, intergenerational effects, and community resilience, and inform policy and practice to better meet the needs of Indigenous individuals, communities and populations.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0130.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.060
GPT teacher head0.401
Teacher spread0.341 · 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