A Case Study of Organizational Capacity in Nonprofit Community Sport
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".