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Record W4392908690 · doi:10.4000/cve.13907

Dramatic Autobiography: the Poetic Voice Recreating Itself in Dante Gabriel Rossetti’s ‘The Bride’s Prelude’

2023· article· en· W4392908690 on OpenAlexaff
Raphaël Rigal

Bibliographic record

VenueCahiers victoriens et édouardiens · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicItalian Literature and Culture
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsBrideBiographyPoetryArtLiteratureArt history

Abstract

fetched live from OpenAlex

The dramatic monologue is one of the most important of the new Victorian poetic forms, and was designed to decipher the soul and probe into it, with the objective, to quote Browning’s dedication to John Milsand in his poem ‘Sordello’, to lay stress on ‘the incidents in the developments of the soul’. As such, this poetic form helps recreate a life, through the fictitious reality of the poetic voice: by talking about itself and primarily to itself, the poetic persona of the dramatic monologue builds up an imaginary autobiography. Some of Dante Gabriel Rossetti’s poems which can qualify as dramatic monologues use this fictitious autobiography to give a voice to marginalized populations, for instance ‘The Bride’s Prelude’. This poem presents a woman about to be forcefully married to a man who deceived her and abandoned her, as she explains to her sister why she cannot look forward to this marriage. Her explanation of what happened constitutes a dramatic autobiography, or an autobiographical monologue: a genre at the crossroads between autobiography and dramatic monologue, in which a voice which is rarely heard is given the opportunity to tell its own version of the story. This recreation of a life story gives the artist the opportunity not only to paint a vivid picture of a time long gone, but to question mechanisms of power in a way that might resonate in Victorian times. For an author such as Rossetti, who stayed clear of politics most of his life, fake autobiographies might be seen as a way to engage with contemporary issues, through the prism of someone else’s life and borrowed autobiographical voices.

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)0.001
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: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.237
Teacher spread0.221 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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