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Record W393814631 · doi:10.33137/rr.v34i4.18666

Cupid in Early Modern Literature and Culture

2012· article· en· W393814631 on OpenAlexvenueno aff
Jane Kingsley‐Smith, Cynthia N. Nazarian

Bibliographic record

VenueRenaissance and Reformation · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsProtestantismDramaArtEmblemTragedy (event)PaintingLiteratureWorshipStyle (visual arts)ReignPoliticsArt historyPhilosophyLawReligious studiesTheology

Abstract

fetched live from OpenAlex

Cupid became a popular figure in the literary and visual culture of post-Reformation England. He served to articulate and debate the new Protestant theory of desire, inspiring a dark version of love tragedy in which Cupid kills. But he was also implicated in other controversies, as the object of idolatrous, Catholic worship and as an adversary to female rule: Elizabeth I's encounters with Cupid were a crucial feature of her image-construction and changed subtly throughout her reign. Covering a wide variety of material such as paintings, emblems and jewellery, but focusing mainly on poetry and drama, including works by Sidney, Shakespeare, Marlowe and Spenser, Kingsley-Smith illuminates the Protestant struggle to categorise and control desire and the ways in which Cupid disrupted this process. An original perspective on early modern desire, the book will appeal to anyone interested in the literature, drama, gender politics and art history of the English Renaissance.

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: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0140.026
Scholarly communication0.0130.005
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.019
GPT teacher head0.224
Teacher spread0.205 · 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

Citations20
Published2012
Admission routes1
Has abstractyes

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