Bibliographic record
Abstract
In the early months of 1966, a handsome, hardworking thirty-five-year-old Canadian-born actor named William Shatner was cast as Captain Kirk in Star Trek, a troubled, low-budget science-fiction television series set to premiere that fall on NBC. Star Trek struggled for viewers and lasted only three seasons, but it found a huge, rabidly dedicated audience when it premiered in syndication following its cancellation—turning Shatner into a pop-culture icon and launching him on a career path he never could have imagined after graduating from McGill University with an economics degree twenty years earlier. As he approaches his ninetieth year, he’s still working at a furious pace as a man of boundless contradictions: by turns one of the most dissected, disliked, revered, respected, mocked, imitated, and beloved stars in the show business firmament. Shatner takes a comprehensive look at this singular performer, using archival sources and information culled from interviews with friends and colleagues to transport readers through William Shatner’s remarkably bumpy career: his spectacular failures and triumphs; tragedies, including the shocking death of his third wife, Nerine; and, ultimately, the resilience Shatner has shown, time and again, in the face of overwhelming odds. Author Michael Seth Starr unravels the mystery of William Shatner, stripping away the many myths associated with his personal life and his relationships with fellow actors, presenting a no-holds-barred, unvarnished look at the unique career of an inimitable performer.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.569 | 0.369 |
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".