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Record W2929511374 · doi:10.1353/esc.2001.0035

Women and Texts: Part One

2001· article· en· W2929511374 on OpenAlexvenueaboutno aff
Mary J. Edwards

Bibliographic record

VenueEnglish studies in Canada · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipVariety (cybernetics)CriticismSubject (documents)PoliticsHistorySociologyMedia studiesGender studiesLiteratureLibrary sciencePolitical scienceArtLaw

Abstract

fetched live from OpenAlex

EDITORIAL EDITORIAL Women and Texts: Part One This is the first of two special issues of English Studies in Canada on “Women and Texts.” The second special issue on this subject will be the June 2002 number of the journal. The writers whose articles appear in these two issues of ESC were among those who submitted papers in response to our call for “critical and scholarly articles” on “such subjects as the history of women’s writing, its publication and critical reception, its theorization, its con­ tribution to politics and culture, and the role that women have played as editors and publishers as well as creators of literature in English.” The responses we received to this call may not have covered quite all these topics, but they certainly ranged over the fields of literature in English and used diverse critical approaches. In putting together “Women and Texts: Part One,” we aimed to show this variety. We also wished to highlight women not only as composers of articles for learned journals, but also as writers and reviewers of volumes of criticism and scholarship. That neither women nor men work in isolation is signaled in both parts by the men who have reviewed books by women and by the women who have reviewed books by men. May the readers of ESC enjoy both this issue and “Women and Texts: Part Two” in our 2002 volume. Mary Jane Edwards Editor, ESC 251 ...

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.243
Teacher spread0.216 · 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.

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

Citations1
Published2001
Admission routes2
Has abstractyes

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