Bibliographic record
Abstract
When Bernard Williams died in June 2003, the obituary in The Times said that “he will be remembered as the most brilliant and most important British moral philosopher of his time”. It goes on to make clear that Williams was far from the dry, awkward, detached academic philosopher of caricature. Born in Essex in 1929, Williams had an extraordinary and, in some respects, glamorous life. He not only enjoyed a stellar academic career – holding a series of distinguished posts at Oxford, UCL, Cambridge and Berkeley – but was also a public figure in British political and cultural life. He played, for example, a leading role in several high profile government committees and reports, and served for almost two decades on the board of the English National Opera. He had, moreover, an easy confidence and charm, a lucidity of expression, and a sharp and, at times, acerbic wit (which could alarm both friends and foes alike). Although these achievements and qualities are impressive, what he will be remembered for chiefly is his significant contribution to philosophy, which spanned a wide spectrum of topics. It is in the field of ethics, in particular, that his contributions are of the most lasting importance. And yet there is a real sense in which he remains a rather enigmatic figure – and the interpretation of his work continues to be a matter of considerable debate....
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".