Bibliographic record
Abstract
Abstract Chapter 3, “Leaving Home (1951–1956),” covers the formative years that Williams served in the Air Force during the Korean War, continuing his music studies and developing as an arranger, conductor, and even nascent film composer while an active member of the band programs in Tucson and particularly Newfoundland. While stationed at Pepperrell Air Force Base there, he scored his first motion picture—a lighthearted travelogue for the Canadian province—by adapting and arranging local folk tunes. Among other legacies, the military band experience instilled in him a lifetime love of marches and ceremonial music as well as “band-strating” for brass and wind instruments. After he is discharged, he moves to New York where he studies privately with Madame Rosina Lhévinne, the eminent piano teacher at Juilliard, and he also forays into performing in nightclubs and on recordings—notably with Harry Belafonte—before ultimately coming back to Los Angeles and starting a family with his high school sweetheart, Barbara Ruick (who pursued a career in acting and musical recording while Williams was in the service).
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.006 |
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".