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Record W3088671827 · doi:10.7202/1069547ar

Sir Charles Bell and the Anatomy of Expression

2020· article· fr· W3088671827 on OpenAlexafffundvenue
Allister Neher

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languagefr
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsDawson College
FundersMcGill University
KeywordsHumanitiesArtPhilosophyArt history

Abstract

fetched live from OpenAlex

Sir Charles Bell (1774–1842) était un brillant anatomiste et neurologue qui possédait un intérêt marqué pour la théorie de l’art de son époque. Ses recherches, publiées dans The Anatomy and Philosophy of Expression as Connected with the Fine Arts , ont d’ailleurs grandement influencé la théorie de l’art puisqu’il démontrait que le mariage de l’art et de la science était, après tout, possible. Cet ouvrage, pourtant très bien reçu à l’époque, a pour ainsi dire disparu de la scène contemporaine de l’histoire de l’art. Il visait à mettre les recherches de son auteur en matière d’anatomie et de neurologie au service des artistes qui essayaient de représenter de manière naturaliste l’expressivité du corps. Selon Bell, le corps possède un langage tangible qui traduit les émotions et dont les signes, associés aux états psychologiques, sont facilement interprétables une fois une profonde connaissance de l’anatomie acquise. Il y éduque les artistes sur les fonctions des systèmes anatomiques, sur les limites qu’elles imposent sur la représentation du corps ainsi que sur les rudiments du langage des émotions.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.219
Teacher spread0.197 · 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.

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
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueRACAR Revue d art canadienneSame topicNeurology and Historical StudiesFrench-language works237,207