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Record W2559927890 · doi:10.7202/1038071ar

The Opaque Nature of John Constable’s Naturalism

2016· article· fr· W2559927890 on OpenAlexvenueno aff
Iris Wien

Bibliographic record

VenueRACAR Revue d art canadienne · 2016
Typearticle
Languagefr
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsnot available
FundersGerda Henkel FoundationTechnische Universität BerlinEuropean Commission
KeywordsHumanitiesNaturalismPhilosophyArtEpistemology

Abstract

fetched live from OpenAlex

Situant les dessins de Constable dans un contexte épistémologique post-Berkleyien, cet article suggère que le basculement vers une structure représentationnelle, qui met l’accent sur l’écart entre les fonctions figuratives et picturales, avait été nécessaire pour assurer la prétention à la vérité du naturalisme de l’artiste. Nous soutenons que les modulations réalistes dans la conceptualisation sémiotique de Berkeley de la perception visuelle furent instrumentales à une esthétique qui s’efforçait d’enligner le langage de la nature avec le sentiment, réconciliant ainsi l’expression subjective et les demandes de l’objectivité. Pourtant, ainsi que nous le démontrons, la rupture d’un ordre de représentation « transparent » qu’opéra Constable eut des implications non seulement scientifiques, mais également idéologiques.

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)0.004
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.043
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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