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Record W6980310784

British Women's Writing, 1930 to 1960 : Between the Waves

2023· book· en· W6980310784 on OpenAlexfundno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2023
Typebook
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsnot available
FundersUniversità degli Studi di ParmaKU LeuvenMcMaster University
KeywordsPoliticsIdeologyPoetrySubjectivityModernism (music)MiddlebrowFeminismJournalismCriticismProletariatVitality
DOInot available

Abstract

fetched live from OpenAlex

This volume contributes to the vibrant, ongoing recuperative work on women’s writing by shedding new light on a group of authors commonly dismissed as middlebrow in their concerns and conservative in their styles and politics. The neologism ‘interfeminism’ – coined to partner Kristin Bluemel’s ‘intermodernism’ – locates this group chronologically and ideologically between two ‘waves’ of feminism, whilst also forging connections between the political and cultural monoliths that have traditionally overshadowed them. Drawing attention to the strengths of this ‘out-of-category’ writing in its own right, this volume also highlights how intersecting discourses of gender, class and society in the interwar and postwar periods pave the way for the bold reassessments of female subjectivity that characterise second and third wave feminism.\n \nThe essays showcase the stylistic, cultural and political vitality of a substantial group of women authors of fiction, non-fiction, drama, poetry and journalism including Vera Brittain, Storm Jameson, Nancy Mitford, Phyllis Shand Allfrey, Rumer Godden, Attia Hosain, Doris Lessing, Kamala Markandaya, Susan Ertz, Marghanita Laski, Elizabeth Bowen, Edith Pargeter, Eileen Bigland, Nancy Spain, Vera Laughton Matthews, Pamela Hansford Johnson, Dorothy Whipple, Elizabeth Taylor, Daphne du Maurier, Barbara Comyns, Shelagh Delaney, Stevie Smith and Penelope Mortimer. Additional exploration of the popular magazines Woman’s Weekly and Good Housekeeping and new material from the Vera Brittain archive add an innovative dimension to original readings of the literature of a transformative period of British social and cultural history.\n \nList of contributors: Natasha Periyan, Eleanor Reed, Maroula Joannou , Lola Serraf, Sue Kennedy, Ana Ashraf, Chris Hopkins, Gill Plain, Lucy Hall, Katherine Cooper, Nick Turner, Maria Elena Capitani, James Underwood, and Jane Thomas.

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)0.006
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.318
Threshold uncertainty score0.633

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0090.006
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.097
GPT teacher head0.315
Teacher spread0.218 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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