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Record W2042687976 · doi:10.1017/s0018246x08006985

PROVINCE, METROPOLIS, AND THE LITERARY CAREER OF PHYLLIS BENTLEY IN THE 1930s*

2008· article· en· W2042687976 on OpenAlexaboutno aff
Dave Russell

Bibliographic record

VenueThe Historical Journal · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsMiddlebrowMetropolitan areaEliteAmbivalenceRepresentation (politics)SociologyHistoryGender studiesAestheticsArt historyArtPolitical sciencePoliticsLawPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

ABSTRACT In spite of a welcome and ever growing academic interest in the lives and work of twentieth-century women writers the Yorkshire novelist, Phyllis Bentley, has remained resolutely hidden from view. This article seeks to demonstrate her importance as a ‘middlebrow’ novelist, particularly in the 1930s, and to examine the ways in which her career sheds light on contemporary relationships between the ‘provincial’ and the ‘metropolitan’. Through consideration of both her private papers and her fiction, it analyses Bentley's complex relationship with both her home town of Halifax and the West Riding more widely. It argues that Bentley played a major role in creating a greater space within the national culture for the representation of provincial, especially northern, life, while also displaying a profound ambivalence toward that very life. While in many ways a passionate and articulate interpreter of the region in which she spent virtually all of her adult life, she also clearly felt constricted by her provincial location and cultural setting, especially when in contact with the London-based literary elite; her relationship with Vera Brittain was particularly highly charged in this regard.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.458

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.008
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.045
GPT teacher head0.200
Teacher spread0.155 · 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
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
Published2008
Admission routes1
Has abstractyes

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