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Record W4387871376 · doi:10.1080/14927713.2023.2271910

A non-competitive sporting challenge: experience shared by a group of women

2023· article· en· W4387871376 on OpenAlexafffundvenueabout
Marie-Claude Rivard, Paule Miquelon, Jean Lemoyne

Bibliographic record

VenueLeisure/Loisir · 2023
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyHumanitiesPhysical activitySociologyMedicineArtPhysical therapy

Abstract

fetched live from OpenAlex

Given that scientific evidence shows that regular physical activity (PA) has physical, psychological, and social benefits, multiple initiatives have been implemented to promote its practice among women. One such initiative is Le Défi des Roses, a non-competitive sporting challenge in Quebec, Canada. A mixed method study consisting of a questionnaire (n = 141) and individual interviews (n = 38) was used among women enrolled in the challenge to: 1) assess participants’ physical, psychological, and social profile at the beginning of their training and 2) describe the physical, psychological, and social impacts of the challenge on participants. Le Défi des Roses had positive impacts physically (e.g. increase in the diversity of PA practice), psychologically (e.g. improvement in body image) and socially (e.g. increased influence over family members). These results could inspire other active leisure organizations designed to promote women’s regular PA, and ultimately, their physical, psychological, and social well-being.

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 score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0100.003
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.036
GPT teacher head0.322
Teacher spread0.286 · 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

Citations2
Published2023
Admission routes4
Has abstractyes

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