The utility of certification for managing the state-voluntary sport club relationship: an agency theory perspective
Bibliographic record
Abstract
Rationale/Purpose: Certification is an institutional mechanism that may, indirectly, have utility for managing the challenges that are likely to be present when the state and voluntary sport clubs (VSCs) connect for sport development.Design/Methodology/Approach: A hermeneutic-dialectic approach guides the adoption of agency theory to conceptualize the state as principal and VSCs as its agents, and to consider agency problems of information asymmetry and divergent interests.Findings: The potential for VSC certification to counter agency problems through harmonization of interests, VSC signaling and reporting of quality and professionalization, state screening and monitoring, and confidence-building through quality assurances, are discussed.Practical Implications: The challenges of certification further inform implications for its indirect application for effectively managing the VSC-state relationship.Research Contribution: The paper advances the limited consideration of both VSC certification and agency theory in the sport literature, combining them for new insights into the potential role of certification for government and community sport relations.
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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 | 0.024 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.033 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".