Great Expectations: A Critical Review of Interorganizational Relationships in Amateur Sport
Bibliographic record
Abstract
The study of interorganizational relationships in amateur sport has developed significantly over the past 30 years alongside rising expectations for multisector integration between sport organizations and other partners. This stems from sport organizations seeking innovative ways to achieve their mission and neoliberal government policies adding institutional pressure for interorganizational cooperation. This review paper discusses the wider cultural and political forces that shape the drive for legitimacy through partnerships across sector boundaries and outlines the theoretical influences on interorganizational relationship research in amateur sport between economic and behavioral paradigms. In addition to considering how prevailing frameworks and findings inform the current body of knowledge in sport management, we critically reflect on implicit assumptions underpinning this work given that partnerships now saturate the discourse of sport management policy and practice. Our review questions whether reality lines up with our “great expectations,” and explores what limitations and opportunities remain for future interorganizational relationships research in amateur sport.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".