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Record W2911624953 · doi:10.1080/17430437.2019.1565387

Playing on the periphery: troubling sport policy, systemic exclusion and the role of sport in rural Canada

2019· article· en· W2911624953 on OpenAlexafffundabout
Kyle Rich, Laura Misener

Bibliographic record

VenueSport in Society · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsWestern UniversityBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAcknowledgementPublic relationsOrder (exchange)Context (archaeology)Social exclusionPolitical scienceSport managementSociologySociology of sportEconomic growthBusinessSocial scienceEconomicsLaw

Abstract

fetched live from OpenAlex

In policy contexts, social exclusion can be experienced through the systematic marginalization of groups by inhibiting their ability to access resources and support. In this article, we consider the context of community sport development in rural Canada to discuss the implications of rationalized policy systems for rural citizens. We discuss instances where engagement with the sport system was constrained as well as the way that rural people responded in order to continue engagement in sport both within and outside of policy frameworks. A more inclusive sport policy system requires the acknowledgement of diverse social outcomes which may be realized through sport. But, in order for this to take place, policy makers and practitioners must acknowledge that these outcomes can exist outside of athlete development and must re-consider the ways that resources and support can be allocated.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.957

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0530.035
Scholarly communication0.0130.003
Open science0.0030.010
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.252
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2019
Admission routes3
Has abstractyes

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