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Record W2967528875

Bernard Williams: Ethics from a Human Point of View

2018· article· en· W2967528875 on OpenAlexaff
Paul Russell

Bibliographic record

VenueLund University Publications (Lund University) · 2018
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhilosophyPoint (geometry)PsychoanalysisEnvironmental ethicsEpistemologySociologyPsychologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.123
GPT teacher head0.428
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations13
Published2018
Admission routes1
Has abstractyes

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