Bibliographic record
Abstract
This chapter traces the origins and development of amateurism, from the plans to revive the Olympic Games of classical Greek antiquity in 1894 through its global diffusion. Though often misattributed to ancient Greece, amateurism was a distinctly modern invention born in Great Britain during the latter half of the nineteenth century. A holistic and loosely articulated set of ideas, beliefs, and practices, amateurism is commonly defined as being “about doing things for the love of them, doing them without reward or material gain or doing them unprofessionally.” The amateur played the game for the game's sake, disavowed gambling and professionalism, and competed in a composed, dignified manner. From its institutional seedbed in Victorian Britain, amateurism traveled the sporting globe, from the cosmopolitan Dominion cities of Cape Town, Sydney, and Toronto to distant British imperial outposts in sub-Saharan Africa, the Caribbean, Southeast Asia, and beyond. Like the spread of modern sports and games, the British diffused amateurism via a series of interrelated mechanisms: notably, the public schools, the economic and industrial system, the imperial British army, the evangelical and muscular Christianity movements, and a vast literary network of sporting journals, male adventure stories, and imperial tracts.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".