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Record W2743142517 · doi:10.1080/17430437.2017.1360584

Single, separate or unified? Exploring Christian academicians’ views of the body, sport and religious experience

2017· article· en· W2743142517 on OpenAlexaboutno aff
Sean Sullivan

Bibliographic record

VenueSport in Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsPersonhoodReligious experienceEmbodied cognitionMonismFaithSociologyPerceptionQualitative researchGrounded theoryRelation (database)DualismExpression (computer science)PsychologySocial psychologyEpistemologyAestheticsSocial sciencePhilosophy

Abstract

fetched live from OpenAlex

The present study addresses the need for increased empirical works within the sport and religion literature by exploring faculty views of embodiment and sport in relation to their Christian worldview. Data were collected through a qualitative method using faculty teaching in sport-related units at universities in the USA and Canada. A grounded theory design was employed to analyse semi-structured interviews related to participants’ theological understandings of embodiment and sport. The following themes were identified: persons can be viewed in monistic, dualistic and holistic ways; the body and sport have theological importance; and the body and sport are avenues for religious experience and expression. Participants’ views of human personhood influenced their perception of embodiment, as well as the type and quality of religious experience possible within embodied activities such as sport. Findings have implications for religious and nonreligious practitioners interested in how religious faith informs the understanding and practice of sport.

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)0.000
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 score0.311
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.107
GPT teacher head0.362
Teacher spread0.255 · 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
Published2017
Admission routes1
Has abstractyes

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