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Record W3152513386 · doi:10.24908/iqurcp.10521

Hogarth and Bad Taste: The Sculptures at St. Bartholomew’s as Satirical Inspiration

2018· article· en· W3152513386 on OpenAlexvenueno aff
Timothy Revell

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSculptureAristocracy (class)ArtPoliticsPaintingDepictionArt historyTasteThe artsChampionArchitectureDecadenceNobilityKitschHistoryVisual artsLiteratureLawPolitical science

Abstract

fetched live from OpenAlex

The engraving Masquerades and Operas (1724), also known as The Bad Taste of the Town, was William Hogarth’s first self-published work. Despite this milestone, it has become a footnote to more studied works such as The Rake’s Progress. I have discovered that Hogarth used sculptures from the Henry VIII Gate at St. Bartholomew’s Hospital in London on his depiction of the Great Gate of Burlington House (home to the Royal Academy of Arts); I believe this is an overlooked element of the print that signals his distaste for foreign art. Hogarth strongly opposed Italianate painting and architecture, even painting frescoes at St. Bartholomew’s gratis, after learning the commission had gone to an Italian. Through visual, political, and contextual analysis, I argue that allusions to Raphael and Michelangelo in Masquerades and Operas associate Italian art with “lameness” and “disease” and are meant to show the decadence of Italian art and its impact on the arts in England. Their position on the Henry VIII Gate further alludes to the malignancy of the aristocracy, whom Hogarth saw as adversely affecting British culture by adopting foreign influences. The Brexit vote and global political turmoil are at the forefront of today’s political situation. In this regard, it is valuable to look back at times of significant cultural change and examine why artists like Hogarth, and contrastingly, Hogarth’s nemesis William Kent (a proponent of classical architecture inspired by Italian examples), strove for and against intercultural exchange.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.014
Scholarly communication0.0070.002
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.002

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 head0.113
GPT teacher head0.345
Teacher spread0.232 · 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 designQualitative
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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