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Record W4236027762 · doi:10.1017/ccol0521814413.010

Writing by women

2004· book-chapter· en· W4236027762 on OpenAlexaffabout
Coral Ann Howells

Bibliographic record

VenueCambridge University Press eBooks · 2004
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEntitlement (fair division)PopularityPoliticsPublishingHistoryGender studiesEthnic groupMedia studiesLiteratureSociologyPolitical scienceLawArt

Abstract

fetched live from OpenAlex

Setting down her title “Setting down her title” This phrase, taken from a Canadian woman's novel written in the early 1970s, addresses the double issue of women's writing and its relationship to wider feminist questions of women's literary and political entitlement. It also marks a significant starting point for this chapter, which will focus on Canadian women's fiction in English since the late 1960s, the period when Canadian writing achieved high visibility at home and abroad. At the present time Margaret Atwood, Alice Munro, and Carol Shields, who all started publishing in the 1960s and 70s, are names that are synonymous with Canadian writing internationally. In addition, since the early 1990s a constellation of new women writers, including many from a wide range of ethnic and racial backgrounds, has enormously diversified Canada's literary image, and these women's novels and short stories feature in increasing numbers on international publishers' lists. Why should this be? What is so distinctive about these writers? And what factors have contributed to their popularity and visibility?

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.243
Threshold uncertainty score0.484

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.005
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0620.016

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 head0.021
GPT teacher head0.229
Teacher spread0.208 · 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
GenreOther

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

Citations3
Published2004
Admission routes2
Has abstractyes

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Same venueCambridge University Press eBooksSame topicGender Studies in LanguageFrench-language works237,207