Billy "the Hill" and the Jump Hook: The Autobiography of a Forgotten Basketball Legend
Bibliographic record
Abstract
Growing up on hardscrabble streets of LA in late 1950s, Billy McGill stood out. At eleven he was dunking. At fifteen he was playing in pickup games against Bill Russell and Wilt Chamberlain-and holding his own, in part because he invented jump hook shot, which no one could defend. How he went from college phenom, well on his way to becoming greatest player Los Angeles ever produced, to sleeping in abandoned houses and washing up in a Laundromat sink is story Billy the Hill McGill recounts here. The first African American to play basketball for University of Utah and highest scoring big man in NCAA history, McGill was first pick of 1962 NBA draft. But injury that would undo him-a knee injury in his junior year of high school-had already occurred, and it would worsen year after year until his career faded away. From college star (whose scoring record is still unbroken) to troubled player, bouncing around NBA and ABA, McGill takes us from heights to his precipitous fall-and slow recovery of a life he had never prepared for. A cautionary tale, written with a candor and authenticity rarely seen in pro athletes, his book is also incredible story of one of greatest unknown basketball players of all time.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".