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Record W2402256234 · doi:10.1080/14927713.2016.1144963

Evaluating good practice in coaching delivery between governing bodies of sport and county sports partnerships in the United Kingdom

2016· article· en· W2402256234 on OpenAlexvenueno aff
Colin Baker, Don Vinson, Andrew Parker

Bibliographic record

VenueLeisure/Loisir · 2016
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
FundersIran Telecommunication Research Center
KeywordsCoachingGeneral partnershipPublic relationsWork (physics)Investment (military)BusinessPolitical scienceManagementEngineeringFinanceEconomics

Abstract

fetched live from OpenAlex

Forty-nine county sports partnerships (CSPs) work together with national governing bodies of sport (NGBs) to support and develop sports coaching in the United Kingdom. Partnership has been promoted as a key means by which agencies are able to address complex issues, but to date there has been little, if any, research into the effectiveness of partnership working between NGBs and CSPs in their support of coaching delivery. NGB officers (n = 13) and CSP Coaching Development Managers (or equivalent) (n = 23) were asked (via online questionnaire and telephone interviews) about their experiences of partnership working. Findings demonstrate that successful partnership working relies heavily upon ‘buy-in’ from both parties and an adequate amount of funding to support coach development. The paper concludes by suggesting that it is likely that partner agencies may need to be persuaded about the value of partnership working due to the required investment and the perceived burdens of collaboration.

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)0.012
metaresearch head score (Gemma)0.002
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 score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.256
GPT teacher head0.468
Teacher spread0.211 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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