Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<JATS1:p>The Expos' move from Montreal to Washington, DC, and subsequent rebirth as the Nationals, was one of the sports success stories of 2005. As a result of the move, the team has enjoyed significant increases in home attendance and cash flow, broadcast revenues, and market valuation. This is but one example of the impact of sports league reorganization, a phenomenon as old as the leagues themselves. Frank Jozsa takes us on a tour, from the 1870s to the present, of the expansions and mergers, relocations and transfers that are constantly shifting the professional sports landscape. Incorporating concepts from economics, demographics, management, and marketing, he explains the successes and failures of such efforts in baseball, football, basketball, hockey, and soccer, including their effects on team competitiveness, market share, and prosperity—and their impact on the communities in which they operate. Arguing that professional sports teams are profit-maximizing businesses, Jozsa's analysis sheds light on the economics, culture, and politics of sports as big business, as decisions are made and implemented, and offers an insightful perspective on both the history and future of sports franchises.</JATS1:p> <JATS1:p>The Expos' move from Montreal to Washington, DC, and subsequent rebirth as the Nationals, was one of the sports success stories of 2005. As a result of the move, the team has enjoyed significant increases in home attendance and cash flow, revenues from local radio and television rights, and the estimated market value of the franchise—from $50 million to over $300 million in one year. This is but one example of the impact of sports league reorganization, a phenomenon as old as the leagues themselves. Frank Jozsa takes us on a tour, from the 1870s to the present, of the expansions and mergers, relocations and transfers that are constantly shifting the professional sports landscape.</JATS1:p> <JATS1:p>Incorporating concepts from economics, demographics, management, and marketing, he explains the successes and failures of such efforts in baseball, football, basketball, hockey, and soccer, including their effects on team competitiveness, market share, and prosperity—and their impact on the communities in which they operate. Arguing that professional sports teams are profit-maximizing businesses, Jozsa's sharp analysis sheds light on the economics, culture, and politics of sports as big business, as decisions are made and implemented. In addition to providing a unique perspective on the history and culture of sports management, he offers insightful commentary on the future prospects of sports franchises.</JATS1:p>
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it