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Record W2148339188 · doi:10.1177/0899764013509892

Toward a Multidimensional Framework of Capacity in Community Sport Clubs

2013· article· en· W2148339188 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNonprofit and Voluntary Sector Quarterly · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversity of WaterlooWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRecreationClubPublic relationsContext (archaeology)Sport managementBusinessProfessional sportCommunity organizationMarketingPolitical science

Abstract

fetched live from OpenAlex

Community sport clubs are a type of membership association largely run by member volunteers who organize and deliver opportunities for recreational and competitive sport participation. These clubs are where people are most likely to engage in organized sport, and have become a focus for achieving social policy objectives. It is important to understand the structures and processes that enable these organizations to meet their member-focused mandates. The purpose of this study was to develop a framework of organizational capacity in this context by uncovering critical elements within multiple capacity dimensions, namely, human resources, finance, infrastructure, planning and development, and external relationships. Focus groups with presidents of 51 sport clubs across Ontario revealed key strengths and challenges that impact the ability of these organizations to achieve their sport delivery goals. Variation by club size was observed. Implications for practice and future research on community sport clubs and membership associations are presented.

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 score0.261
Threshold uncertainty score0.991

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.278
Teacher spread0.230 · 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