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Record W4409273618 · doi:10.1353/vcr.2024.a956303

Feeling History: Thomas Carlyle, The French Revolution , and the Melodramatic Mode

2024· article· en· W4409273618 on OpenAlexvenueno aff
Matthew Skwiat

Bibliographic record

VenueVictorian review · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingMode (computer interface)HistoryArtArt historyPsychologySocial psychologyComputer science

Abstract

fetched live from OpenAlex

Abstract: Thomas Carlyle's The French Revolution has since its release been regarded as an experiment of form, style, and vision. Carlyle's biographer James Anthony Froude said that its "form is quite peculiar, unlike that of any history ever written before, or probably to be written again" (76). The peculiarity of Carlyle's work has baffled critics since Froude, and while many have attached it to other generic forms like the epic and even the novel, very little work has tied it to the melodrama of the nineteenth century. By carefully reading The French Revolution through the melodramatic mode, the wavelength trajectory of Carlyle's work, its oscillations between scenes of dramatic action and stilled pictorial tableaux, and its radically conservative politics begin to make sense. This paper connects Carlyle to the popular melodramas of the period, such as those by Edward Bulwer Lytton, John Walker, and Douglas Jerrold, and finds in both their politics and the emotional economy of their works a melodramatic mode that The French Revolution emulates. Early Victorian society seemed on the brink of upheaval, and readers looked to The French Revolution to be moved, emboldened, and to try to make sense of the world around them.

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: Review · Consensus signal: none
Teacher disagreement score0.664
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.223
Teacher spread0.201 · 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
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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