The first tip-off: the incredible story of the birth of the NBA
Bibliographic record
Abstract
ForewordPhil Jackson Preface Chapter 1The First Basket and the First Basketeer Chapter 2The First Game Chapter 3Genesis Chapter 4The Penguin, the Mogul and the Constitution Chapter 5The Boston Celtics and the Clown-Prince of the BAA Chapter 6The Providence Steamrollers Hit a Road Block Chapter 7Paul Birch Fires up the Pittsburgh Ironmen Chapter 8Of Money, Time, and Justice Chapter 9There's No D in Chicago Stags Chapter 10Big Ed Drives the Toronto Huskies to Ruin Chapter 11The Evolution and Extinction of the Cleveland Rebels Chapter 12The Professor and the St. Louis Bombers Chapter 13The Short Flight of the Detroit Falcolns Chapter 14The Ethnic Knicks Chapter 15Gotty, Jumping Joe, and the Philadelphia Warriors Chapter 16The Washington Capitols and The Apprenticeship of Red Auerbach Chapter 17The Playoffs Chapter 18The First Champions Chapter 19Barely Alive Sources Acknowledgments
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.043 | 0.013 |
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".