Bibliographic record
Abstract
Tables and Figures Preface Western Europe - Overall Issues Professional Sport in Europe: Which Economic Model? by Jean-Francois Bourg Is There a European Model of Sport? by Stefan Szymanski Still Up for Grabs? Maintaining the Sporting and Financial Viability of European Soccer by Bill Gerrard Western Europe - Labor Issues The European and U.S. Sports Labor Markets by Paul D. Staudohar Economic Analysis of the Transfer Market in European Professional Soccer by Jean-Jacques Gouguet and Didier Primault Should the International Mobility of Teenage Talented Players from Developing Countries Bye Regulated? by Wladimir Andreff Western Europe - Competitive Balance Issues Economic Inequalities within and between Professional Football Leagues in Europe: Sporting Consequences and Policy Options by H. F. Moorhouse Buying Success: Relationahips Between Team Performance and Wage Bills in the U.S. and European Sports Leagues by Robert Simmons and David Forrest Revenue Sharing Arrangements and the Survival of Promoted Teams: Empirical Evidence from the European Soccer Leagues by Bernd Frick and Joachim Prinz Western Europe - League Evolution, Broadcasting, and the Stock Market Common Origins, Common Future? A Comparative Analysis of Association and Rugby League Football in the UK by Paul Downward and Ian Jackson Sport and Broadcasting: Comparisons between the USA and Europe by Chris Gratton and Harry Arne Solberg Stock Market Flotation and the Finance and Management of Professional Soccer Clubs in Europe by Stephen Dobson and John Goddard Canadian Professional Football The Professional Football Industry in Canada: Economic and Policy Issues by Neil Longley Southern Hemisphere Rugby Union Professionalization of Southern Hemisphere Rugby Union by P. Dorian Owen and Clayton R. Weatherston Brazilian Football An Overview of Brazilian Football by Antonio Carlos Kfouri Aidar, Clarissa Bueno de Ameida, and Renato Giosa Miralla Japanese and Korean Baseball Japanese and North American Baseball: A Cross-Cultural Comparison of the Effects of Rule Changes by Akihiko Kawaura and Sumner J. Lacroix Competitive Balance and Attendance in Japanese, Korean, and U.S. Professional Baseball Leagues by Young Hoon Lee Australia Professional Sporting Competitions in Australia by Robert D. MacDonald and Jeff Borland Labour Market Intervention, Revenue Sharing and Competitive Balance in the Australian Football League, 1897-2002 by Ross Booth Australian Professional Team Sports In a State of Flux by Braham Dabscheck Bibliography Index About the Contributors
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.019 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.260 | 0.061 |
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".