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Record W4200371203 · doi:10.3138/md.64-4-1017

“Tangled Passions”: Realism and Lyricism in the Plays of Peter Gill

2021· article· en· W4200371203 on OpenAlexvenueno aff
William McEvoy

Bibliographic record

VenueModern Drama · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsWelshDramaNarrativePoliticsPoetryRealismAestheticsLyricismSociologyLiteratureHistoryGender studiesArtLawPolitical science

Abstract

fetched live from OpenAlex

This article argues that the work of Welsh theatre director and playwright Peter Gill occupies a unique place in post-1960s’ British playwriting. It explores Gill’s plays as – using theatre critic Susannah Clapp’s phrase – the “missing link” between kitchen-sink realism and more self-consciously poetic forms of theatre text. Gill’s plays make an important contribution to the history of working-class representation in UK theatre for three main reasons: first, the centrality he gives to Wales, Welsh working-class characters, and the city of Cardiff; second, his emphasis on the experience of women, especially mothers; and third, his focus on young male characters expressing and exploring the complexities of same-sex desire. The plays make advances in terms of realist dialogue and structure while also experimenting with layout, repetition, fragmentation, poetic description, and monologue narration. Gill’s work realistically documents the impact of poverty, cramped housing conditions, and social deprivation on his characters as part of a political project to show the lives of Welsh working-class people on stage. While doing so, Gill innovates in his handling of time, perspective, viewpoint, and genre. His plays occupy a distinctive place in the history of British, working-class, gay theatre, helping us to rethink what each of these three key terms means.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.019
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.028
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.032
GPT teacher head0.232
Teacher spread0.200 · 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
Published2021
Admission routes1
Has abstractyes

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