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Record W2155876741 · doi:10.1123/jsm.23.4.457

A Case Study of Organizational Capacity in Nonprofit Community Sport

2009· article· en· W2155876741 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.

Bibliographic record

VenueJournal of Sport Management · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsWestern University
Fundersnot available
KeywordsMandateClubPublic relationsAffect (linguistics)Capacity buildingBusinessCohesion (chemistry)Organization developmentProcess (computing)SociologyPolitical science

Abstract

fetched live from OpenAlex

As a pivotal part of the nonprofit and voluntary sector, community sport organizations provide opportunities for active participation, social engagement, and community cohesion. This study examined the nature and impact of organizational capacity in one nonprofit community sport club to identify factors that affect the ability of this organization to fulfill its mandate and provide sport opportunities in the community. Hall et al.’s (2003) multidimensional framework of human resources, financial, relationships/ networks, infrastructure and process, and planning and development capacity was used. The study incorporated interviews with board members and coaches as well as active-member researcher observations (Adler & Adler, 1987). Key strengths and challenges of each capacity dimension were uncovered, and connections among the dimensions were revealed. The relatively greater importance of human resources and planning and development capacity for goal achievement was identified. The findings support the use of a multidimensional approach for generating a comprehensive understanding of organizational capacity in community sport, and for identifying where and how capacity may be enhanced.

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)0.002
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 score0.065
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.058
GPT teacher head0.310
Teacher spread0.252 · 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