An understanding towards organisational change in swimming in the United Kingdom. Paper submitted for part of the assessment process for a Doctorate in Business Administration
Bibliographic record
Abstract
Sports all over the world have evolved considerably over the last two decades due to their increased popularity through various marketing communication channels and the mass media coverage. Because of this they have had take on what was originally an amateur role to more a professionalised role dealing with increased governmental pressure and also in some cases quality frameworks which they once did not have. Because of this a lot of National Governing bodies who came from predominantly voluntary roles are now paid and also working with highly trained staff. Because of this change it could be argued there has been a great deal of resistance to this which inherently has impacted the growth and development of the grass roots stages that feed into sport (Not-for –profit sports clubs). Some key researchers such as Hoye (2004, 2002), Kikulis, (2000), Kikulis., Slack,, & Hinings. (1995) have been the lead people with in this field to look at models like Laughlins (1991), Dawsons (1996) and many other theorists ’ models that have been adopted when they have been going through the change process. Some of the sports that have been looked at when they have been going through this change process are NSO’s in Canada and also Rugby in Australia. However there has been very little work done on sport with in the United Kingdom. This paper looks at the Formerly Amateur swimming Association now British Swimming on how they have gone through change and in what this has impacted there grass roots development. It also looks at 30 clubs in particular on how they have embraced this change.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".