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Record W2148706345 · doi:10.1017/s1479244304000113

AN OPEN ELITE: THE PECULIARITIES OF CONNOISSEURSHIP IN EARLY MODERN ENGLAND

2004· article· en· W2148706345 on OpenAlexaff
Brian Cowan

Bibliographic record

VenueModern Intellectual History · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsEliteThe artsAestheticsArtTasteVisual artsHistorySociologyPolitical sciencePsychologyLaw

Abstract

fetched live from OpenAlex

Seventeenth-century English virtuoso attitudes to the visual arts have often been contrasted with a putative eighteenth-century culture of connoisseurship, most notably in a still influential 1942 article by Walter Houghton. This essay revisits Houghton's thesis and argues that English virtuoso culture did indeed allow for an incipient notion of artistic connoisseurship but that it did so in a manner different from the French model. The first section details a virtuoso aesthetic in which a modern approach to the cultural heritage of antiquity was central. The instructive ethical and historical attributes of an art work were deemed more important than attribution to a master artist, although one can discern an incipient notion of a virtuoso canon of great artists. The second section examines the social and institutional position of the English virtuosi and argues that the lack of a Royal Academy of Arts in the French manner made virtuoso attitudes to the arts unusually receptive to outside influences such as the Royal Society and other private clubs and academies. It concludes by considering the ways in which some eighteenth-century concepts of taste and connoisseurship defined themselves in contrast to an earlier and wider-ranging virtuosity even if they failed to fully supplant it.

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: Other · Consensus signal: none
Teacher disagreement score0.115
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0150.028
Scholarly communication0.0100.006
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.065
GPT teacher head0.243
Teacher spread0.178 · 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
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

Citations7
Published2004
Admission routes1
Has abstractyes

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