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Record W3087020249

Between Renaissance and Reformation: Grotesques and the Debate on Images

2019· article· en· W3087020249 on OpenAlexfundno aff
Damiano Acciarino

Bibliographic record

VenueARCA (Università Ca' Foscari Venezia) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance Literature and Culture
Canadian institutionsnot available
FundersHorizon 2020 Framework ProgrammeUniversity of TorontoVictoria UniversityEuropean Commission
KeywordsThe RenaissanceArtArt history
DOInot available

Abstract

fetched live from OpenAlex

This collection offers a set of new readings on the history, meanings, and cultural innovations of the grotesque as defined by various current critical
\ntheories and practices. Since the grotesque frequently manifests itself as striking incongruities, ingenious hybrids, and creative deformities of nature
\nand culture, it is profoundly implicated in early modern debates on the theological, philosophical, and ethical role of images. This consideration
\nserves as the central focus from which the articles in the collection then move outward along different lines of conceptualization, chronology,
\ncultural relevance, place, and site. They cover a wide spectrum of artistic media, from prints to drawings, from sculptures to gardens, from paintings
\nto stuccos. As they do this, they engage with, and bring together, theoretical perspectives from writers as diverse as Plato and Paleotti, Vitruvius and
\nVasari, Molanus and Montaigne. Whether travelling a short distance from Nero’s Domus Aurea to Raphael’s Vatican logge, or across the ocean from
\nItaly to New Spain, this volume goes further than any previous study in defining the historic understanding of grotesque and, in so doing, providing
\nus with a more nuanced resource for our understanding of an art form once viewed as peripheral.

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)0.000
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: none
Teacher disagreement score0.945
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.192
Teacher spread0.180 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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