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Record W2942127366 · doi:10.1093/bjsw/bcz046

Everything Is Related and It All Leads Up to My Mental Well-Being: A Qualitative Study of the Determinants of Mental Wellness Amongst Urban Indigenous Elders

2019· article· en· W2942127366 on OpenAlexafffundabout
Kaela Schill, Edna Terbasket, Wilfreda E. Thurston, Donna Kurtz, Stacey Page, Freda McLean, Randy Jim, Nelly D. Oelke

Bibliographic record

VenueThe British Journal of Social Work · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaUniversity of Calgary
FundersCanadian Institutes of Health ResearchGovernment of Alberta
KeywordsIndigenousMental healthFriendshipQualitative researchPovertyCultural safetyRacismGeneral partnershipSociologyPsychologyPolitical scienceSocial psychologyGender studiesPsychiatrySocial science

Abstract

fetched live from OpenAlex

Indigenous peoples in Canada often experience a greater burden of poor health and wellness relative to non-Indigenous Canadians due to a legacy of colonisation and racism. However, Indigenous mental wellness outcomes vary by community, and it is essential to understand how a community has been impacted by the determinants to improve mental wellness outcomes. This article shares insight from a research partnership with the Ki-Low-Na Friendship Society, an urban Indigenous community service organisation. The study used a decolonising, qualitative methodology in which urban Indigenous Elders shared their knowledge of mental wellness and experiences of services and supports. Elders described mental wellness holistically, connected to their relationships, land, language and culture. They described several determinants of wellness including identity, poverty, transportation, abuse and trauma. Elders shared experiences of culturally unsafe care and identified colonisation as root causes of poor mental wellness. They shared how some determinants affect urban Indigenous communities uniquely. This included limited transportation to cultural activities outside urban centres, such as medicine picking, the importance of urban organisations (such as Aboriginal Friendship Centres) in developing social support networks, and the role of discrimination, racism and inequitable care as barriers to accessing services in urban centres.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.000
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 head0.014
GPT teacher head0.321
Teacher spread0.307 · 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

Citations19
Published2019
Admission routes3
Has abstractyes

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