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Record W4386572600 · doi:10.32799/ijih.v18i2.39519

Role of Self-Determination in Health and Wellness: A qualitative study with Indigenous youth health leaders across Canada

2023· article· en· W4386572600 on OpenAlexaffvenueabout
Rachel Thorburn, Jeffrey Ansloos, Sam McCormick, Deanna Zantingh

Bibliographic record

VenueInternational Journal of Indigenous Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsIndigenousThematic analysisSelf-determinationInclusion (mineral)Context (archaeology)Qualitative researchLived experienceWork (physics)SociologyPsychologyGerontologyGender studiesMedicinePolitical scienceGeographySocial scienceEcology

Abstract

fetched live from OpenAlex

This work centers the voices of Indigenous young people to explore how they are defining and enacting self-determination, and how these expressions of self-determination influence the wellness of these young people and their communities. Thematic analysis was used to analyze 15 interviews with Indigenous young people about how they understood wellness in the context of their community work. Interview transcripts were analyzed to understand how young people conceptualized and enacted self-determination and its relationship to wellness, and to identify underlying connections to Indigenous self-determination theory. Results indicate that Indigenous young people define and enact self-determination through traditional healing and embracing cultural wellness practices; through sharing lived experience and meeting people where they are at; and. through community inclusion and intuitive practice. Implications for researchers, policymakers, and care providers who work with Indigenous young people are considered.

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)0.008
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 score0.131
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
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 head0.025
GPT teacher head0.390
Teacher spread0.365 · 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

Citations2
Published2023
Admission routes3
Has abstractyes

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