Book symposium on <i>Return of the grasshopper: games, leisure and the good life in the third millennium</i>
Bibliographic record
Abstract
Bernard Suits’ groundbreaking work, The Grasshopper: Games, Life, and Utopia, has profoundly shaped the philosophy of sport. Its sequel, Return of the Grasshopper: Games, Leisure, and the Good Life in the Third Millennium, released in October 2022, enriches scholarly understandings of Suits’ views on games, emphasizing the normative aspects of gameplay and its impact on people’s pursuit of the good life. In this book symposium, world-leading Suits scholars analyze the Suitsian conception of gameplay and its relevance to his views on Utopia outlined in the sequel, covering a wide range of topics. Filip Kobiela explores counterfactual situations in Suits’ oeuvre. Christopher Bartel and Gwen Bradford scrutinize the ethical nature and ramifications of Suits’ claim that life is an unconscious game. R. Scott Kretchmar and John S. Russell present thoughtful critiques of Suits’ musings on Utopia. William J. Morgan’s contribution integrates contemporary work studies to illuminate Suits’ utopia. The symposium concludes with the editors, Francisco Javier Lopez Frias and Christopher Yorke, offering their perspectives on Suitsian Utopia, ethics, and metaethics.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".