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Record W176531190

Increasing Enjoyment in Physical Education through Gender Segregated Classes

2013· article· en· W176531190 on OpenAlexaffabout
Marc Toms, Linda E. Rohr

Bibliographic record

VenueRevue phénEPS / PHEnex Journal · 2013
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDeci-Physical educationPsychologyFocus groupDevelopmental psychologyObservational studyClass (philosophy)Social psychologyPedagogySociologyMedicinePolitical scienceAutonomy
DOInot available

Abstract

fetched live from OpenAlex

Physical inactivity is a growing concern for adolescents across Canada (CCHS, 2010). Regularly scheduled physical education periods during school time can act as a platform to counteract the rising physical inactivity levels. However, junior high students sometimes have reservations about physically exerting themselves in the presence of opposite gendered peers (Maihan, Murrie, Gonzalez, & Jobe, 2006).  In this project gender segregated physical education was explored as an alternate setting to alleviate these pressures. Sixty-six junior high students (thirty-eight boys and twenty-eight girls) participated in a five-class unit of gender-segregated physical education.  Data was collected via the Intrinsic Motivation Inventory (Deci & Ryan, 1985), focus group sessions, as well as observational notes. The results provide evidence for the positive impact of gender segregated physical education classes at the grade eight and nine level. Grade seven students however reported less interest in the gender-segregated environment.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.046
GPT teacher head0.335
Teacher spread0.289 · 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.

Study designObservational
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
Published2013
Admission routes2
Has abstractyes

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