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Record W4405394484

Plot Counter Plot: Genetics and Generic Strain in the Modernist Novel of Formation

2016· article· en· W4405394484 on OpenAlexaff
Daniel Aureliano Newman

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsMcGill University
Fundersnot available
KeywordsPlot (graphics)Strain (injury)MathematicsBiologyStatistics
DOInot available

Abstract

fetched live from OpenAlex

Historically, modernism coincides with the rise of modern genetics, which undermine and complicate but also enable positive new visions of the individual. Modern (Neo-Darwinian and Mendelian) genetics differ from earlier hereditary theories by positing a radical division between the operations of inheritance (at the molecular level) and the processes of individual development (at the somatic level). This basic division inheres in modernist Bildungsromane that engage thematically with reproduction and heredity; their dominant plot of individual development is therefore supplemented with a more or less antagonistic plot of genealogical continuity. In such genic novels, as I call this group of Bildungsromane, the two plots interact dialogically, producing formal disturbances to the linear, progressive plot of self-formation and enabling the possibility of real development for characters once barred from the ideals of Bildung. The essay links the modernist origins of the genic novel to its growing presence in contemporary literature.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.053
Scholarly communication0.0090.007
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.360
GPT teacher head0.490
Teacher spread0.130 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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