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Record W2602371148 · doi:10.1080/2159676x.2017.1307265

So all kids can play? Looking beyond the rhetoric of an equal playing field

2017· article· en· W2602371148 on OpenAlexafffund
Bethan Kingsley, Nancy Spencer-Cavaliere, Lisa N. Tink

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsAlberta Conservation AssociationUniversity of Alberta
FundersUniversity of Alberta
KeywordsRhetoricMeaning (existential)Field (mathematics)Gender studiesSociologyLevel playing fieldPsychologySocial psychology

Abstract

fetched live from OpenAlex

This paper explores the meaning and experiences of sport for young people living with lower incomes. Using data from interviews with 10 young people (aged 13–18) and six mothers, we engage with the work of Pierre Bourdieu to provide insight into the varied ways young people living with lower incomes were influenced by their social contexts. Narrative inquiry was used to further understand the meanings of sport for participants and the ways these were tied to their material conditions. Using creative non-fiction, research findings were transformed into stories to present the experiences of three teenagers: Joey, Stacey and Nathan. The concepts of habitus, capital and field are used in the discussion to explicitly theorise the similarities and differences between the stories and show the heterogeneity of sport experiences for young people living with lower incomes. Overall, the paper contributes empirical understanding by outlining the ways in which material conditions and family circumstances shaped young peoples’ experiences differently. In doing so, it disrupts the idea that sport is a level playing field and challenges the notion that sport is a worthwhile pursuit for all young people.

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)0.013
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.482
GPT teacher head0.672
Teacher spread0.190 · 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.

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

Citations11
Published2017
Admission routes2
Has abstractyes

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