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A Qualitative Inquiry of Females’ Experiences With a Novel High School Intramural Program

2023· article· en· W4323309814 on OpenAlexaboutno aff
Ken R. Lodewyk, Stephanie Beni, James Foley, Tricia Zakaria, Denise Romy Mercier

Bibliographic record

VenueThe Physical Educator · 2023
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsIntrapersonal communicationDisengagement theoryFocus groupIntervention (counseling)PsychologyMedical educationPhysical educationPhysical activityQualitative researchPedagogyInterpersonal communicationMedicineGerontologyPhysical therapySocial psychologySociology

Abstract

fetched live from OpenAlex

Adolescent females’ disengagement from physical education, physical activity, and sport has been well documented. Participating in a quality intramural program could help to increase rates of adolescent females’ engagement in physical activity at school. This study was conducted with female students in four high schools in south-central Canada. A school-specific organizing committee consisting of an outside expert, teacher-lead, and several female student-facilitators designed and implemented a new optional intramural program rooted in best practices to 483 female students. Semistructured focus group interviews were held with 25 student-facilitators before and after the intramural intervention. There was a noticeable reduction in the females’ perceived barriers to being engaged in physical activity at school after the program intervention. Accommodating the intrapersonal, inter­personal, and environmental needs of adolescent females may help intramurals to counter the allure of more sedentary options at school.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.075
GPT teacher head0.424
Teacher spread0.349 · 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.

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 routes1
Has abstractyes

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