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Record W2281679758

Trivialized Female Idealism and Valourized Male Realism: The Importance of Being George

2011· article· en· W2281679758 on OpenAlexvenueno aff
Sarah E. Maier

Bibliographic record

VenueCanadian review of comparative literature · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicReligion, Gender, and Enlightenment
Canadian institutionsnot available
Fundersnot available
KeywordsIdealismRealismOpposition (politics)DialecticBinary oppositionGeorge (robot)HegelianismPhilosophyAestheticsRelation (database)SympathyRepresentation (politics)LiteratureEpistemologySociologyArtArt historyPsychologyLawSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Any consideration of artistic movement of literature in nineteenth century must express concern with apparent gendering of aesthetic categories and ways in which that gendering shapes reception and valourization of various texts as well as de-valourization of many female-authored texts. One of primary ways in which this heirarchization occurs is through binary opposition which has been accepted between idealist novel and realist novel. In particular, women writers such as George Sand, George Eliot, and George Egerton have been variously trivialized or valourized in relation to canon. It is a model which asserts realism as dominant mode of writing and secures its superiority within paradigm of representation through the alignment of its terms with paradigm of gender (Schor 1993,11), and which needs to be reconsidered along with need to rethink idealism in novel especially as it pertains to gendering of these two aesthetic categories. Perhaps a reading of Georges will demonstrate that rather than characterization of aesthetic categories as a dialectical, Hegelian struggle between idealism and realism, there may be

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.057
GPT teacher head0.271
Teacher spread0.213 · 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.

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
Published2011
Admission routes1
Has abstractyes

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