The social and commercial impact of sport, the role of sport management
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
In this paper I argue that those interested in the management of sport should discuss their research with leaders in management and sport management. They should also talk to practitioners to see what problems they are confronting.Using the work of Gerrard and Andrews I suggest that the commercialisation of sport has been heavily influenced by media companies. I identify four social issues that have not been dealt with in the sport management literature or have just started to be addressed. These are: sport and environmental issues; the offshore production of sport equipment; the social responsibility of sport organisations; and the lack of research on the club and recreational leagues, which are the backbone of the sport delivery system.I indicate that I am willing to work with people on any of these topics or any other sport management related topics. I do have several caveats with any help I give. I suggest that if you get sick like me it helps to have a supportive family. I conclude by saying that the management of sport has great potential but researchers must refer to other work that is related to the topic they are investigating.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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