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Record W4387711877 · doi:10.29173/mm14

Immigrant Girls’ Experiences with Physical Activity: A Focus on Female Only Fitness Classes

2023· article· en· W4387711877 on OpenAlexaffvenueabout
Simrit Deol, Jay Johnson

Bibliographic record

VenueMovement Matters · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversity of ManitobaUniversity of Alberta
Fundersnot available
KeywordsImmigrationPhenomenology (philosophy)Physical educationFocus groupPhysical activityQualitative researchPhysical fitnessPsychologyDevelopmental psychologyClass (philosophy)Gender studiesSociologyPedagogyMedicineSocial sciencePhysical therapyGeography

Abstract

fetched live from OpenAlex

This research is part of a larger intersectional study that was designed to provide information for creating physical activity programming that is culturally relevant and inclusive for immigrant girls. This article addresses immigrant girls’ experiences in a female only fitness class that was offered as an option in physical education. Following the qualitative methodology of interpretive (hermeneutic) phenomenology, semi-structured interviews were conducted with four high school participants who identified as both an immigrant and as a female in Central Canada. The findings demonstrate that inclusive physical education spaces require more than just gender segregation for immigrant girls’ meaningful participation in physical activity.

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)0.001
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 score0.071
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0130.005
Scholarly communication0.0040.001
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.336
Teacher spread0.309 · 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
Published2023
Admission routes3
Has abstractyes

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