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Rossetti, Dante Gabriel

2015· other· en· W4240749045 on OpenAlexaff
D.M.R. Bentley

Bibliographic record

VenueThe Encyclopedia of Victorian Literature · 2015
Typeother
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsSonnetAestheticismPoetryArtBeautyPaintingRealmEroticismLiteratureThe artsPeriod (music)Movement (music)Art historyHuman sexualityHistoryVisual artsAestheticsSociologyGender studies

Abstract

fetched live from OpenAlex

A core figure in the Pre‐Raphaelite movement and a major influence on aestheticism, symbolism, and the Arts and Crafts movement, Dante Gabriel Rossetti was the Victorian period's most important poet‐painter. A devotee of female beauty, he peopled his poems and pictures with feminine types as diverse as the Virgin Mary, the “fallen women,” and the femme fatale , as well as with depictions of the women – Elizabeth Siddal, Fanny Cornforth, Jane Morris – with whom he had passionate and fraught relationships. Drawing on Dante, Titian, Malory, and others, he developed a distinctive poetic and pictorial idiom in which to explore the relationship between the divine and the human in the realm of sexual love and to ponder the ultimate questions of human existence, themes that lie at the heart of his sonnet sequence The House of Life .

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.089
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0250.011

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 head0.008
GPT teacher head0.272
Teacher spread0.264 · 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
Published2015
Admission routes1
Has abstractyes

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