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Record W2118744473 · doi:10.15663/wje.v10i1.340

Playing to win or trying your best: Media representations of national anxieties over the role of sport participation during the 2002 Commonwealth Games

2016· article· en· W2118744473 on OpenAlexaff
Emma H. Wensing, Toni Bruce, Clive C. Pope

Bibliographic record

VenueWaikato journal of education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCommonwealthRealmAmbivalencePublic relationsPolitical scienceMass mediaSociologySocial psychologyPsychologyLaw

Abstract

fetched live from OpenAlex

In the last few years, growing concern has emerged in New Zealand sport about the shift towards a more commercial or professionalised model of sport and away from a mass participation-based model. In the midst of a relatively intense period of debate and concern over this change in direction, the 2002 Commonwealth Games took place in Manchester, England. In this article, we analyse how media coverage of the Games articulated with the broader public debate over the direction of New Zealand sport. Grounded in the assumption that the media both reflects and impacts on public understandings of cultural issues, we believe this analysis of coverage of the Games reveals a profound ambivalence over a more professionalised model of sport and points to an unwillingness to give up traditional values of sports participation in order to win. We explore how this debate articulates with current tensions in the realm of Physical Education and suggest that health and physical educators have an important role to play in challenging current pressures towards a win-at-all-costs approach to 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)0.001
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 score0.107
Threshold uncertainty score0.292

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 head0.058
GPT teacher head0.397
Teacher spread0.339 · 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

Citations11
Published2016
Admission routes1
Has abstractyes

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