MétaCan
Menu
Back to cohort
Record W2805750091 · doi:10.5038/2157-7129.8.1.1122

Wishing for the Watch Face in Jonathan Swift’s “The Progress of Beauty”

2018· article· en· W2805750091 on OpenAlexaff
J. Harold Ellens

Bibliographic record

VenueABO Interactive Journal for Women in the Arts 1640-1830 · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBeautySwiftFace (sociological concept)HumanityAestheticsArtIdeal (ethics)Art historySociologyPhilosophyComputer scienceEpistemologySocial scienceTheology

Abstract

fetched live from OpenAlex

This article illuminates the technological underpinnings of Jonathan Swift’s satire, “The Progress of Beauty” (1719), by exploring how eighteenth-century poetics of beauty and scientific progress pit human against automaton. This article ranges from the ego of masculine technological display to women’s self-identification with the automaton to suggest that Swift’s speaker blazons the aging prostitute’s body with the hope that it might resurrect a lost ideal, the beautiful watch face. Instead, readers are confronted with the vision of Celia who, with her chipped paint, greasy joints, and faulty mechanisms, reminds them that humanity continues to break through its enamel. When readers commiserate with the speaker’s final desire for “new Nymphs with each new Moon,” Swift catches them in an affective trap that ridicules their ill-fated attempts to escape their own mortality.

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)0.003
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 score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.022
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.032
GPT teacher head0.299
Teacher spread0.267 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueABO Interactive Journal for Women in the Arts 1640-1830Same topicLiterature: history, themes, analysisFrench-language works237,207