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Record W2990903412 · doi:10.1123/jsm.2019-0098

Organizational Capacity and Performance of Community Sport Clubs

2019· article· en· W2990903412 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Sport Management · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsWestern University
Fundersnot available
KeywordsClubCapacity buildingContext (archaeology)BusinessScale (ratio)Key (lock)Public relationsMarketingKnowledge managementPerspective (graphical)Computer sciencePolitical scienceEconomicsGeographyEconomic growth

Abstract

fetched live from OpenAlex

Using a multidimensional framework, the authors developed the Community Sport Capacity Scale to measure the key elements of capacity in community sport organizations or clubs and investigate their relative impact on three key indicators of club performance. Presidents or their representatives from 336 community sport organizations in 20 sports across the province of Ontario, Canada, completed the web-based survey measuring the extent of various elements of human resources, infrastructure, finance, planning, and external relationships capacity. The survey also measured club operations, programs, and community presence, identified as key performance outcomes. Controlling for club size, elements representing all five capacity dimensions were significantly associated with the outcomes. The findings highlight the rich information that may be generated from a multidimensional and context-specific perspective on organizational capacity, and indicate implications for building capacity in community sport organizations.

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.

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)0.000
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 score0.021
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.254
Teacher spread0.235 · 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