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Record W2516305138

Understanding the meanings created around the aging body and sports by masters athletes through media data

2013· dissertation· en· W2516305138 on OpenAlexaboutno aff
Patrick Odirin Oghene

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2013
Typedissertation
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsAthletesPsychologyMedicinePhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

There is literature based on masters athletes and their involvement in sports at the later stages of
\nlife. Masters athletes are exercise-trained individuals who compete in athletic events at a high
\nlevel well beyond a typical retirement age (Tanaka & Seals, 2008). These athletes vary widely in
\nage but are typically older than 35 years, with many more over the ages of 50 and well into old
\nage. The research questions guiding this study included; (a) what are the media representation of
\nmasters athletes, and how are they used to generate meanings around aging, sports and the aging
\nbody and (b) what are the implications of these meanings on how the aging body is represented
\nto the audience. A qualitative (i.e., case study) approach was used to explore what meanings
\nwere generated around aging and sports through media narratives in relation to aging
\nsuccessfully. Media data in the form of sports magazines (i.e., Runner’s World and Lexis-Nexis
\ndata base) were compiled for the data analysis. This research focused specifically on two cases,
\n81year old Ed Whitlock, a Canadian long distance marathon runner, and 77 year-old Jeanne
\nDaprano, an American masters track and field athlete. The data included (n=41 Ed Whitlock, n=
\n17 Jeanne Daprano). The data were analyzed via an inductive thematic analysis (see Braun &
\nClarke, 2006).
\nThe following central themes emerged a) life-long involvement in sports (higher order themes:
\nearlier sporting experience, triumphant return, uninterrupted engagement), (b) performance
\nnarratives (serious contenders, reasoning for performance, systematic training, an individualized
\napproach), and (c) decline narratives (resistance to declines in old age, sports related injuries,
\nmaintenance of performance). This study highlights how both athletes were depicted in the
\nmedia narratives, demonstrating that their involvement in sports in later life provided an alternate
\nway to view the aging process. The findings from this study seek to extend the understanding of
\nmasters athletes, by contextualization how they challenge some of the decline narratives
\nassociated with old age.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.661
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.045
GPT teacher head0.252
Teacher spread0.207 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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