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Record W7013214080

Jigging our Health

2024· dissertation· en· W7013214080 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2024
Typedissertation
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialIndigenousMental healthEthnic groupDanceTest (biology)Blood pressureBalance (ability)Social connectedness
DOInot available

Abstract

fetched live from OpenAlex

The Red River Jig (RRJ) is a traditional Métis dance practiced among Indigenous and non- Indigenous Peoples. Though exercise benefits physical health and fitness, the benefits of cultural dances to improve wholistic aspects of health are less clear. This study aimed to investigate social, psychosocial (cultural and mental), physical function, and physical fitness benefits of participation in an RRJ intervention. Indigenous and Non-Indigenous adults (N=27,38±14 years, 20 females) completed an 8-week RRJ intervention. Social support index, multigroup ethnic identity measures of cultural connectedness, and mental well-being questionnaires, as well as seated blood pressure and heart rate, weight, grip strength, six-minute walk test, and one-leg and tandem balance measures were assessed before and after the intervention. Cultural connectedness and mental well-being scores were similar before and after the intervention. Community components of social support scores (7.7 ± 1.4 vs. 10.3 ± 1.4,\np<0.001), six-minute walk test distance (551.5 ± 96.6 m vs. 581.3 ± 100.8 m, p=0.002), and tandem eyes closed balance (86.0 ± 45.9 s vs. 102.8 ± 31.9 s, p=0.02) increased after the intervention. Seated systolic blood pressure (117.6 ± 6.1 mmHg vs. 112.9 ± 10.8 mmHg, p=0.02) and heart rate (62.2 ± 6.3 beats·min -1 vs. 59.8 ± 5.6 beats·min -1 , p=0.02), weight (80.6 ±23.1 kg vs. 79.4 ± 23.2 kg, p=0.04), and one leg eyes closed balance (26.0 ± 17.2 s vs. 22.6 ±16.3 s, p=0.04) decreased after the intervention. A RRJ intervention can improve social support, physical function, and physical fitness for Indigenous and Non-Indigenous adults. (Funding: Saskatchewan Health Research Foundation)

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.415
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.013
GPT teacher head0.233
Teacher spread0.220 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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