Bibliographic record
Abstract
In this chapter we focus on organic golf as another alter-golf response to golf-related environmental issues, thus further exploring our PAAR continuum from Chapter 2. It is here where we discuss our site visits to organic golf courses in Canada and the UK, and describe a more transformative approach to changing golf than that led by the mainstream golf industry to date. We note how some organic golf proponents are interested not only in changing established golf industry practices, but in inspiring golfers themselves to judge the quality of golf courses differently. This might involve, for example, recognizing that pristine courses may not be ‘healthy’ courses and environments. We suggest that this sort of cultural shift is crucial if an organic, alter-golf movement is to take hold. Far from celebrating organic golf tout court, however, we close this chapter by acknowledging that organic golf is not immune to criticism (e.g., over the exclusivity of golf based on its high cost to consumers) and is not free of environmental concerns of its own. We suggest instead that organic golf is a tentative move in the right direction for the golf industry, and that organic golf should not languish ‘on the fringe’ of golf as it has to a great extent so far.
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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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".