World Cup! History, Politics, and Art of the Beautiful Game [PDF, E-Book]
Bibliographic record
Abstract
This collection of essays provides a multidimensional, interdisciplinary, creative, and colorful view on the meanings and possibilities of thinking football—'the beautiful game'—and its paramount event: the World Cup. It is intended to appeal to academics as well as to everyday experts, those for whom football is more than a sport. But it also wants to be a source that stirs the interest of those who see football just as a curious experience; those who may have heard, in passing, that a new World Cup will be played in the U.S., Canada, and Mexico in 2026. This book has, like a football team, eleven chapters. The approaches, styles, and perspectives differ considerably: From how football is a center piece in politics to its representations in poetry, from gender issues to nationalism, from fictitious wars to real ones provoked by a football match, and from exile to the neo-liberalization of the sport, the authors provide us a multicolor and global fresco of football and the World Cup. Likewise, the selection provides a global perspective on football and the World Cup: views from powerhouses such as England or Argentina, as well as from countries with a very incipient football tradition, such as India and Israel. 'World Cup! History, Politics, and Art of the Beautiful Game' is an invitation to continue to understand and think about one of the most important cultural manifestations of our times; a book that, particularly in the context of the next World Cup in 2026, will appeal to a broad readership, all around the world.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.102 | 0.032 |
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".