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Record W2025813754 · doi:10.5539/ijps.v4n4p55

Ramadan Fasting and Competitive Sports: Psychological Adaptation within Socio-cultural Context

2012· article· en· W2025813754 on OpenAlexvenueno aff
Jolly Roy, Rabindarjeet Singh, Anaurene Roy, Shazarina Hamidan

Bibliographic record

VenueInternational Journal of Psychological Studies · 2012
Typearticle
Languageen
FieldMedicine
TopicDietary Effects on Health
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptation (eye)PsychologyContext (archaeology)AthletesSocial psychologyEliteDimension (graph theory)Social environmentSociologyPolitical scienceSocial scienceMedicine

Abstract

fetched live from OpenAlex

The article examines the influence of socio-cultural practices of Ramadan fasting in competitive sports and adaptation pathway of the athletes. The study describes how the socio-cultural context acts as the social “panopticon” and explains the adaptation pathways among Muslim archers. Foucauldian concept explains individual actions and behaviors within social and cultural settings, and adaptation pathways during Ramadan fasting. Eleven elite Malaysian Muslim archers participated in an open ended interview to identify individual experiences of competing in high level sports while engaging in Ramadan fasting. Relevant quotes were extracted to identify means and methods leading to a pathway toward adaptation. The inductively identified pathway viz. understanding of the context, control and adjustment, willpower and self enhancement, belonging and gravitating, trust and support culminates in the dimension of adaptation. The study highlights how cultural and societal influences have a bearing on actions, behaviors, and decisions of competitive athletes.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.148
GPT teacher head0.461
Teacher spread0.313 · 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 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

Citations3
Published2012
Admission routes1
Has abstractyes

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