An Agency Theory Perspective on Corruption in Sport: The Case of the International Olympic Committee
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.
Bibliographic record
Abstract
This article discusses agency problems in sport organizations in which the same individuals are involved in both the management and control of decision making. We focus our analysis on the case of the International Olympic Committee (IOC) by reviewing the behavior of selected IOC members with regard to the bidding process for the Olympic Games and the resulting reform attempts made by the IOC in an effort to address issues of corruption. After a review of examples of corrupt behavior on the part of IOC members, agency theory is introduced to discuss IOC reforms and provide some suggestions for future reform. We propose incorporating other stakeholders (in addition to the IOC members), such as corporate partners, media conglomerates, and other members of the Olympic movement (e.g., athletes, coaches, officials), into management and control functions. More specifi cally, it is suggested that these stakeholders comprise a board that oversees the operations of the IOC (similar to the IOC’s current executive committee) and be given the ability to remove and/or sanction IOC members who act self-interestedly to the detriment of the Olympic movement. Thus, by delegating the control function of decision making to a board and the management function to internal agents, greater accountability for all organization members can be achieved.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it