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Record W4402722376 · doi:10.32799/ijih.v20i1.42220

Older Métis Adults’ Experiences of Physical Activity and Implications to Health Providers

2024· article· en· W4402722376 on OpenAlexafffundvenueabout
Liris Smith, Sylvia Abonyi, Brenna Bath, Liz Durocher, TJ Roy, Sarah Oosman

Bibliographic record

VenueInternational Journal of Indigenous Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsYukon University
FundersCanadian Institutes of Health Research
KeywordsPhysical healthEnvironmental healthPhysical activityPsychologyGerontologyBusinessMedicineMental healthPsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

Physical activity supports health and wellness, and specifically supports healthy aging. Little is known about the experiences of older Métis adults with physical activity through their lifespan and how this has impacted wellness. This study was co-constructed with 12 older Métis adults in Sakitawak (Île-à-la-Crosse) Saskatchewan using a participatory action approach, two-eyed seeing and the ontology of Breath of Life Theory, as described by Cindy Blackstock. Older Métis adults described physical activity within three themes, Wahkotowin (Related to Everything), Ahkameyimowin (Never Give up), and E ti Meyo Matshohot (Becoming/Living a Better Life). The results of this study have implications for health care professions which are founded within biomedical and biopsychosocial models. We consider the context and experiences of physical activity among Indigenous populations in Canada to better address the gaps and identify practices that aim to support population health.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.577

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0010.001
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 head0.041
GPT teacher head0.496
Teacher spread0.454 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2024
Admission routes4
Has abstractyes

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