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Record W2515317765 · doi:10.1123/ssj.2016-0053

The Absence of Resistance Training? Exploring the Politics of Health in High Performance Youth Triathlon

2016· article· en· W2515317765 on OpenAlexaff
Parissa Safai, Jay Johnson, John Bryans

Bibliographic record

VenueSociology of Sport Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSociocultural evolutionPoliticsAthletesResistance (ecology)ScholarshipPsychologyPhenomenonGender studiesPolitical scienceSociologyPublic relationsGerontologyMedicinePhysical therapyLaw

Abstract

fetched live from OpenAlex

While research and scholarship on the dynamic interconnections between sport and health has steadily grown in the sociocultural study of sport in the past few decades, this paper focuses more directly on the politics of health within sport. Drawing on a small study of the lived experiences and understandings of health, pain/injury, risk and precaution among 12 male and female high performance youth (16–19 years of age) triathletes and three coaches, we outline the ways in which health becomes depoliticized among high performance athletes as our participants made no connection to health as a political phenomenon—within or outside of sport—or to their own right to health as members of the high performance sport community. We conclude by offering some suggestions as to why health was (and is) rendered apolitical in high performance youth triathlon.

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)0.006
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 score0.419
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.115
GPT teacher head0.333
Teacher spread0.218 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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