MétaCan
Menu
Back to cohort
Record W2101564176 · doi:10.1177/136346150003700102

Psychological Distress among the Cree of James Bay

2000· article· en· W2101564176 on OpenAlexaff
Laurence J. Kirmayer, Lucy J. Boothroyd, Adrian Tanner, Naomi Adelson, Elizabeth Robinson

Bibliographic record

VenueTranscultural Psychiatry · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMemorial University of NewfoundlandMcGill UniversityYork UniversityJewish General Hospital
Fundersnot available
KeywordsCoping (psychology)Mental healthDistressPopulationPsychologyDemographySocial supportCannabisPsychological distressGerontologyMedicinePsychiatryClinical psychologyEnvironmental healthSocial psychology

Abstract

fetched live from OpenAlex

The object of this study was to identify potential risk and protective factors associated with psychological distress among the Cree of James Bay, through a secondary analysis of data on 1136 Cree (aged 15–85) from a random general population health survey in 1991. In multiple linear distress in the past week included: younger age, female gender, early loss of a parent or close relative, more life events in the year before the survey, a serious illness or drinking problem in the past year, ever having used cannabis, having more than elementary education, having fewer than five close friends/relatives and residing in an isolated or inland region. Having a good relationship with others in the community and spending more time in the bush were both associated with less distress. The relative importance of these factors varied across age/gender cohorts. We conclude that gender and generational differences should be considered when planning mental health promotion strategies for this population. In addition to more conventional approaches to reduce alcohol abuse, improve coping with loss and increase social support, targeted programs should be developed addressing the impact of education and role strain for women.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.312
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 designQualitative
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

Citations39
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueTranscultural PsychiatrySame topicIndigenous Health, Education, and RightsFrench-language works237,207