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Record W2799451228 · doi:10.3138/md.61.2.0932

Structure of Class Feeling/Feeling of Class Structure: Laura Wade’s <i>Posh</i> and Katherine Soper’s <i>Wish List</i>

2018· article· en· W2799451228 on OpenAlexvenueno aff
Elaine Aston

Bibliographic record

VenueModern Drama · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingDemonizationSociologyGender studiesWishPoliticsPsychoanalysisAlienationAestheticsPsychologySocial psychologyLawArtPolitical science

Abstract

fetched live from OpenAlex

Theatre’s counter-hegemonic resistance to the “demonization of the working class” (Owen Jones, Chavs) is the subject of this article. This resistance is analysed through case studies of two “class acts”: the elite Oxford boys in Laura Wade’s Posh (2010) and the poverty-stricken youth in Katherine Soper’s Wish List (2016). My close reading of these two plays involves a reprise of Raymond Williams’s “structure of feeling”: the conjugation of “structure” and “feeling” allows me to engage with and advocate a dual concern with systems of classification as well as the affective, experiential (lived) dimension of being “classified.” Moving between the class-fuelled feelings of entitlement in Posh and those of alienation in Wish List, I elucidate how, under the United Kingdom’s regime of neoliberal austerity, the label “working class” has become “sticky” (Sara Ahmed, The Cultural Politics of Emotion) with disgust-making properties (Pierre Bourdieu, Distinction). Overall, what emerges is a critical feeling for the United Kingdom as a class-divided nation and an urgent need to resist the entrenched classifying gaze of the neoliberal imagination.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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 designBench or experimental
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

Citations3
Published2018
Admission routes1
Has abstractyes

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