Bibliographic record
Abstract
Abstract If those of us in soccer had $1 for every time we have heard the question “when will soccer catch on in America?” we would all be in the Cayman Islands now with a cool drink and a satellite dish. The answer of course is that soccer in America has already “caught on”. How else would 93, 000 fans came out to watch Barcelona play the LA Galaxy, 72, 000 to watch Real Madrid play D.C. United, 66, 000 to watch Chelsea play AC Milan or 79, 000 to watch Mexico beat the USA in New York? Soccer equally was the first sporting event to be played in the new $ 1b Dallas Cowboys stadium, selling out all 82, 252 seats for a quarter-final Gold Cup Match. During what was marketed by Soccer United Marketing as the 2009 “Summer of Soccer” over 1.9 million soccer fans poured through the gates of 98 soccer matches, 68 of which were broadcast on national television. Games included 15 MLS Teams, 14 national teams and 10 international club teams. Record attendances were set in Los Angeles, Seattle, New York, Toronto, San Francisco and Washington DC. So let no one tell you that America is not a soccer nation.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".