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Record W2189133345 · doi:10.7939/r30z7136t

Through the Lens of the Youth: Exploring Culturally Relevant Physical Activity with a Northern Aboriginal Community Through Participatory Action Research

2014· article· en· W2189133345 on OpenAlexaboutno aff
Keren Tang

Bibliographic record

VenueUniversity of Alberta Library · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
Fundersnot available
KeywordsParticipatory action researchAction (physics)PhotovoiceCitizen journalismSociologyLens (geology)Community-based participatory researchAction researchGender studiesPsychologyPolitical scienceAnthropologyEconomic growthPedagogyEngineering

Abstract

fetched live from OpenAlex

Guided by an overarching participatory action research framework, this research explored physical activity within the sociocultural context of northern Aboriginal communities. I worked in partnership with the Yellowknives Dene First Nation Community Wellness Program in the Northwest Territories, Canada, to develop, implement and evaluate the research. Together, we aimed to: 1) document the community’s perspective of and experience with physical activity through the eyes of the youth; 2) investigate how physical activity is embedded in local and traditional culture; 3) raise consciousness about physical activity in the community; and 4) develop a strategic plan for sustaining new and existing physical activity initiatives. Ultimately, this research highlighted the critical role of culture and traditions in the Dene people’s physical activity experience and more broadly, their health and wellbeing. Moreover, it demonstrated that a participatory action research project is entirely feasible within the capacity of a Master’s thesis, given the appropriate circumstances, partnership, and researcher attitude. This study contributes to the current understanding of physical activity from an Indigenous perspective and provides recommendations for future research, policy, and practice to develop meaningful and effective interventions for chronic disease preventions.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
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 studies0.0020.001
Scholarly communication0.0000.002
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 head0.191
GPT teacher head0.334
Teacher spread0.143 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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