MétaCan
Menu
Back to cohort
Record W4321102304 · doi:10.1111/rest.12859

Aretino: Conjuring the Sensuous City

2023· article· en· W4321102304 on OpenAlexaff
Marlene L. Eberhart

Bibliographic record

VenueRenaissance Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsVanier College
Fundersnot available
KeywordsImitationVernacularSensibilityPoetryArtPoliticsPromotion (chess)Order (exchange)PaintingAestheticsLiteratureVisual artsHistorySociologyLawPsychologyPolitical science

Abstract

fetched live from OpenAlex

Abstract This article examines Pietro Aretino's promotion and critique of the sensorial aspects of the physical, the political and the sociable city through a selection of his letters and the three comedies La Cortigiana, Il Marescalco and La Talanta. It explores the shared physical and social experiences that Aretino counts on in order for his words to resonate with his readers, especially with regard to Venice and Rome, viewed at times through the lens of Venice. Aretino lives during a time of intense sensorial concerns, from the imitation of nature promoted in works of art to the regulation of the urban sensorium through the control of speech and print, sumptuary laws and public performance. Drawing upon his own early experience of painting, writing poetry and perhaps street performance, Aretino evokes those concerns and displays a particularly urban sensibility as he seizes the opportunities offered by printing and the expansion of vernacular texts to explore what it is to inhabit the early modern Italian city in all its jumbly, chaotic and colourful sensorial ‘noise’.

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)0.002
metaresearch head score (Gemma)0.002
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: Other
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.026
Scholarly communication0.0080.002
Open science0.0010.006
Research integrity0.0020.002
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 head0.200
GPT teacher head0.327
Teacher spread0.127 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRenaissance StudiesSame topicRenaissance and Early Modern StudiesFrench-language works237,207