MétaCan
Menu
Back to cohort
Record W4236529448 · doi:10.3138/utq.79.4.1023

The Bluestockings and the Genealogy of the Modern Novel

2010· article· en· W4236529448 on OpenAlexvenueno aff
Betty A. Schellenberg

Bibliographic record

VenueUniversity of Toronto Quarterly · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)PreferenceResistance (ecology)Identification (biology)HistoryAestheticsLiteratureSociologyGenealogyEpistemologyLinguisticsPhilosophyArtMathematics

Abstract

fetched live from OpenAlex

Despite, or rather because of, their suspicion of the ‘novel’ and their relatively limited practice of the form, the eighteenth-century British intellectual women known as the Bluestockings serve as a useful indicator of their culture's gradual shift from resistance to sophisticated appreciation of the emerging novel genre. Their preference for generically mixed texts; their privileging of the active reading habits fostered by such materials; their elaboration of a novel theory emphasizing probability and ‘experiment’; and their increasing identification with stories of women's experience all worked to define the modern novel by the end of the century. I argue, indeed, that the novel the Bluestockings ultimately accepted, and that a second generation of Bluestocking writers such as Clara Reeve and Frances Burney adopted as its authorial specialty, was not the novel they initially resisted; rather, it was a deliberately constructed hybrid whose theory and practice had been shaped in part by their own priorities for, and understandings of, the operations of fiction.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.020
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.027
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0010.001
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 head0.006
GPT teacher head0.159
Teacher spread0.153 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Toronto QuarterlySame topicLiterature: history, themes, analysisFrench-language works237,207