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Record W4254645987 · doi:10.7202/1026002ar

“An infusion of the modern spirit into the ancient form”: Textual Objects and Historical Consciousness in George Eliot’s Romola

2014· article· en· W4254645987 on OpenAlexvenueno aff
Mattie Burkert

Bibliographic record

VenueRomanticism and Victorianism on the Net · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsDepictionGeorge (robot)ConsciousnessHumanityIdeologyAlterityThe RenaissanceLiteratureHistoryAestheticsArtArt historyPhilosophyLawEpistemologyPolitics

Abstract

fetched live from OpenAlex

In George Eliot’s Romola, manuscripts represent the ability of objects to embody the past. Through various characters’ interactions with manuscripts, Eliot explores competing ways of using and valuing history, from Bardo’s obsessive collecting to Savonarola’s ideological co-optation. As the story progresses, however, manuscripts all but disappear and are replaced by printed texts. Through this depiction of technological change, Eliot advances her case for a particular kind of historical consciousness, one that engages critically—rather than fetishistically or opportunistically—with the past. Print, Eliot suggests, allows history to become widely accessible for public consumption, thereby weakening the aura of the past and allowing readers to simultaneously recognize its alterity and its intimate relationship to the present. Eliot suggests that the role of history is to guide and advance the interests of humanity in the present; as such, she uses Renaissance anxieties over the movement from manuscript to print to interrogate Victorian concerns surrounding the proliferation of inexpensive printed materials.

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 score0.010
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.033
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.208
Teacher spread0.196 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

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