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Record W1488962838 · doi:10.18357/ijih.101201513195

Social-relational understandings of health and well-being from an Indigenous Perspective

2014· article· en· W1488962838 on OpenAlexaffvenueabout
Richard Hovey, Treena Delormier, Alex M. McComber

Bibliographic record

VenueInternational Journal of Indigenous Health · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsKahnawake Schools Diabetes Prevention ProjectMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsIndigenousPerspective (graphical)SociologyEnvironmental ethicsPromotion (chess)Gender studiesSocial psychologyPolitical sciencePsychologyEcologyPoliticsLawBiology

Abstract

fetched live from OpenAlex

This article presents the findings from a research project that examined how well-being, especially with regard to diabetes prevention, was understood within an Indigenous community, Kahnawà:ke, a Kanien’kehá:ka community on the St. Lawrence River near Montreal, Quebec, Canada. Both philosophical hermeneutics and Indigenous ways of knowing were used to achieve a decolonized research approach to undertaking and analysing interviews from key stakeholders. The research findings revealed that the social- conditions created by external Western influences on culture, language, and epistemologies are strongly connected to the relational conditions that continue to influence the health and well-being of individuals, families, and the community. Indigenous well-being was found to be closely related to the concept of being Onkwehon:we, to the roles and responsibilities of families as nurturers of health-promoting relationships, and to processes expected to promote the healing of multigenerational traumas rooted in a history of colonization. Developing a shared understanding of Indigenous people’s knowledge about what is required to effectively prevent type 2 diabetes, while simultaneously fostering the sense of being Onkwehon:we, is a new approach to health promotion within Indigenous communities.

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)0.004
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 score0.300
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.022
GPT teacher head0.367
Teacher spread0.345 · 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

Citations37
Published2014
Admission routes3
Has abstractyes

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