Spilled milk and burned toast: extrinsic pressure and sporting excellence
Bibliographic record
Abstract
This paper explores the dynamics of extrinsic pressure in sport and its relation to athletic excellence. We argue that psychological pressure exerted by activities extrinsic to sport can be relevant to success or failure in it, such that how one manages extrinsic pressures can transmit to failure to perform in sport and thus be a determinant to victory, with no reason to think failure mitigated by the non-sporting nature of one’s other behaviour. To make this argument we offer a series of examples to test intuitions about what constitutes sporting excellence and what constitutes sporting failure. On the basis of these examples, we offer a categorization of pressures in sport and argue that psychological pressure from almost any area of life may be relevant to competition, whether intrinsic or extrinsic to the sporting contest. We substantiate this claim by proposing a framework for adjudicating the relevance of extrinsic pressures to sporting performance by appealing to the internal goods of each sport and their contribution to flourishing.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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 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".