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Record W7077908889 · doi:10.5683/sp3/6t3z6j

Une fille qui court: une aventure sportive offerte aux femmes du Québec pour favoriser et découvrir les bienfaits du mouvement dans leurs différentes sphères de vie

2025· dataset· fr· W7077908889 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2025
Typedataset
Languagefr
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPopularityLongitudinal dataResearch methodologyLongitudinal study

Abstract

fetched live from OpenAlex

Deux défis sportifs non compétitifs consistent en la réalisation d’épreuves de course à pied exclusivement réservées aux femmes à priori sédentaires. Malgré la grande popularité et les multiples bénéfices connus associés à une participation des événements sportifs, peu d’études, par surcroit québécoises, ont mesuré les effets à court, moyen et long terme de la participation des femmes. L’objectif principal est d’évaluer les variables physiques, psychologiques et sociales liées aux deux défis sportifs « Une fille qui court » et « Expérience Pyrénées ». L’étude sera réalisée à l’aide d’un devis mixte longitudinal à mesures répétées comportant cinq phases et faisant appel à des questionnaires électroniques (n=2 000) et des entrevues individuelles avec la partenaire et les coureuses dans les Pyrénées (n=18). Pour la partenaire, les résultats permettront de dépasser les observations réalisées sur le terrain et de vérifier de façon empirique l’atteinte de l’objectif visé par la présente étude. // Two non-competitive sporting challenges consist of running events exclusively reserved for women who are presumably sedentary. Despite the great popularity and the multiple known benefits associated with participation in sporting events, few studies, especially those from Quebec, have measured the short, medium and long-term effects of women's participation. The main objective is to evaluate the physical, psychological and social variables related to the two sporting challenges "Une fille qui court" and "Expérience Pyrénées". The study will be conducted using a longitudinal mixed design with repeated measures comprising five phases and using electronic questionnaires (n=2,000) and individual interviews with the partner and the runners in the Pyrenees (n=18). For the partner, the results will go beyond the observations made in the field and empirically verify the achievement of the objective of this study.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.144
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.029
GPT teacher head0.266
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2025
Admission routes2
Has abstractyes

Explore more

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