Major League Champions, 1871-2001 (review)
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
Casey Stengel once said, "You could look it up." Thanks to Thomas Brucato, communications specialist and member of the Society for American Baseball Research, you can. Broadly applying the term Major League to the highest levels of professional team sport in North America, Brucato records the annual championships for sixty leagues in eleven team sports—baseball, basketball, football, arena football, lacrosse, indoor lacrosse, hockey, roller hockey, soccer, indoor soccer, and tennis. Here one will find such familiar competitions as the World Series, the Super Bowl, and the Stanley Cup as well as such less well known events as the Scholarship Series (All-American Girls' Baseball League), the Soccer Bowl (North American Soccer League), and the Avco World Trophy (World Hockey Association). Some franchises, such as the New York Yankees, Montreal Canadiens, and Boston Celtics, are famous, while others, [End Page 142] such as the Brooklyn Bridegrooms (baseball), Vancouver Millionaires (hockey), and Akron Firestone Non-Skids (basketball), are obscure.
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 | 0.000 | 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 | 0.000 | 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) | 0.104 | 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