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Record W3108687039 · doi:10.29009/ijres.4.1.13

Why Some join in and Others don’t: Embodied Experiences of Male Students in Physical Education at a Saudi High School

2020· article· en· W3108687039 on OpenAlexaff
Majed Eid Alharbi

Bibliographic record

VenueInternational Journal of research in Educational Sciences · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHabitusEmbodied cognitionSocial capitalPhysical educationCultural capitalCapital (architecture)Symbolic capitalValue (mathematics)Qualitative researchPsychologyJoin (topology)Social psychologySociologySocial statusPedagogySocial scienceEpistemology

Abstract

fetched live from OpenAlex

Drawing on Bourdieu’s concepts of bodily habitus, social capital, and physical capital, the purpose of this qualitative case study is to develop a better understanding of Saudi youth bodily dispositions that influence their experiences in physical education. The paper reports on qualitative data generated by observation as well as semi-structured interviews with 27 boys between the ages of 15 and 20. Family, neighborhood friends and peers have been found to be essential factors in shaping boys’ attitudes towards and experiences in PE. The production and conversion of physical capital to other forms of capital (e.g. social capital) is notable among students who are physically skillful, helping them to earn a more socially and academically privileged status. Students who are not skillful and come from constraining family circumstances (social/financial) are less able to distinguish themselves and may experience marginalization. This paper finds that a student’s sporting body is considered as an example of symbolic value (capital) and gives an account of how such bodies, and such values, are (re) produced.

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)0.003
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 score0.022
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0110.009
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0020.004
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 head0.193
GPT teacher head0.596
Teacher spread0.403 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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