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Record W1986247254 · doi:10.1080/2159676x.2015.1033738

Understanding the meanings created around the aging body and sports through media representations of elite masters athletes

2015· article· en· W1986247254 on OpenAlexaffabout
Odirin Oghene, Kerry R. McGannon, Robert J. Schinke, Shelly Watson, Alessandro Quartiroli

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2015
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsLaurentian University
Fundersnot available
KeywordsAthletesNewspaperEliteElite athletesTrack and field athleticsPsychologyGender studiesRepresentation (politics)Thematic analysisSociologyPolitical scienceMedia studiesPhysical therapyMedicineQualitative researchSocial sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Masters athletes compete in athletic events at the elite level after the point when most elite athletes retire. These athletes typically begin this stage of their competition careers between 30 and 40 years and continue in this journey in some cases to the age of 90 or older. The purpose of the present study was to explore media representations of such athletes to extend understandings on the portrayal of ageing, the older body and sport and the potential impact on understandings of ageing and sport participation. The athletes focused on were 81 year old Ed Whitlock, a Canadian marathon runner, and 77 year-old Jeanne Daprano, an American track and field athlete. Both athletes were the best athletes in their age group category based on their international accomplishments as runners. Media representation(s) (i.e. newspapers, articles in Runner’s World magazine) of both athletes (n = 41 Whitlock, n = 17 Daprano) were collected and analysed through an interpretive thematic analysis. Two higher-order themes were identified: (a) discovery and rediscovery of sports and competition – which culminated into ‘ageing into sport’ and (b) performing in a declining body – which culminated into ‘ageing out of sport’. These findings extend the literature on masters athletes, demonstrating how media stories of two prominent athletes’ identities circulating at the broader cultural level (re)creates particular meanings around ageing and athletics that can simultaneously encourage and discourage sport participation.

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)0.019
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.565
GPT teacher head0.579
Teacher spread0.013 · 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 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

Citations10
Published2015
Admission routes2
Has abstractyes

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