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Record W1980980358 · doi:10.1016/s1441-3523(08)70111-6

Policy, Politics and Path Dependency: Sport Development in Australia and Finland

2008· article· en· W1980980358 on OpenAlexaboutno aff
Mick Green, Shane Collins

Bibliographic record

VenueSport Management Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsElitePoliticsIndigenousPolitical scienceSalience (neuroscience)Path dependencyPublic policyChinaEconomic growthGeographyEconomic geographyEconomics

Abstract

fetched live from OpenAlex

Sport development as a public policy priority has historically been on the periphery of governments’ political agendas. This is not the case in the early twenty-first century however. Over the past decade, in nations as diverse as Canada, China, Germany, Norway, Poland, Singapore and the United Kingdom, public policies for sport development-related activity have increased in salience. This article reviews and analyses national sport development policy (across the mass-elite sport spectrum) in Australia and Finland; two countries with quite distinct political, cultural and sporting backgrounds. The analysis explores whether a path dependency approach can help towards a better understanding of sport development activity in each country. Our conclusions suggest that Australia (elite sport) and Finland (Sport for All) have remained on quite specific sport development pathways with little deviation, despite a few programs created in Australia to increase the levels of sport participation for targeted groups such as school children, women and indigenous Australians.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.345
Teacher spread0.291 · 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 designNot applicable
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

Citations110
Published2008
Admission routes1
Has abstractyes

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