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Record W2040995947 · doi:10.1136/jmh.2011.007211

Robert Knox and the anatomy of beauty: Figure 1

2011· article· en· W2040995947 on OpenAlexafffund
Allister Neher

Bibliographic record

VenueMedical Humanities · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsDawson College
FundersOsler Library of the History of Medicine, McGill University
KeywordsThe artsDandyBeautyArt historyArtClassicsVisual artsAesthetics

Abstract

fetched live from OpenAlex

Robert Knox (1791-1862) is typically remembered as the Edinburgh anatomist to whom the murderers Burke and Hare sold the bodies of their victims. This association brought Knox infamy and damaged his life and career. Before the Burke and Hare scandal, Knox was one of the most famous, original and influential anatomists in Britain. He was also something of a dandy with a sophisticated appreciation of the visual arts. His most significant writings on artistic subjects were his books A Manual of Artistic Anatomy and Great Artists and Great Anatomists: A Biographical and Philosophical Study. Knox's interesting and independently minded opinions on the central artistic questions of his day were taken seriously by his contemporaries. His demotion in the official history of anatomy following his involvement with Burke and Hare, however, also removed him from the history of art theory in 19th century Britain. Knox was such a magnetic and impressive figure, though, that he has to be brought back to his era and his era is not complete without him. This paper discusses how Knox's writings on anatomy and biology shaped his contributions to art theory. It is a first step towards returning Knox, the art theorist, to the cultural life of 19th century Britain.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.004

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 head0.037
GPT teacher head0.235
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations3
Published2011
Admission routes2
Has abstractyes

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