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Record W4243596905 · doi:10.4000/erea.6170

Modernist Disavowal

2018· article· en· W4243596905 on OpenAlexaff
Stephen ROSS

Bibliographic record

VenueE-rea · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicJoseph Conrad and Literature
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSpiritualismModernism (music)Reading (process)Key (lock)LiteratureAestheticsExtension (predicate logic)PhilosophyPsychoanalysisArtPsychologyLinguistics

Abstract

fetched live from OpenAlex

This paper argues that the psychological mechanism of disavowal is at the heart of modernist conceptions of difference from the Victorians. It identifies the focal point of this disavowal in the overt repudiation of spiritualism and spectrality in key pronouncements by Joseph Conrad and Virginia Woolf. By reading those pronouncements closely, and comparing them to the use of spectrality and spiritualism in these writers’ novels, this paper argues that these key foundational figures of literary modernism enact a powerful case of disavowal. Though they explicitly deplore the use of the supernatural, Conrad and Woolf rely upon it in their fiction. This specific dual disavowal – of the Victorian precedent and of a lingering supernaturalism in their own work – is not just limited to Conrad and Woolf, but, I argue, informs the larger means by which the modernists strove to understand and articulate their break with the Victorians. Disavowal of the supernatural stands at the origin of modernist self-conception, anchoring the challenge to “make it new” directly in a matrix of ethico- aesthetic concerns.

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)0.005
metaresearch head score (Gemma)0.006
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 score0.008
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.066
Scholarly communication0.0060.008
Open science0.0010.007
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.221
Teacher spread0.198 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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Same venueE-reaSame topicJoseph Conrad and LiteratureFrench-language works237,207