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Record W4390414853 · doi:10.3138/md-66-4-1267

Shepard’s Political Economy: <i>Curse of the Starving Class</i> in Neoliberal Capitalism

2023· article· en· W4390414853 on OpenAlexvenueno aff
Guy Zimmerman

Bibliographic record

VenueModern Drama · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCapitalismNeoliberalism (international relations)NarrativeCursePoliticsSociologyPolitical economyNeoclassical economicsPolitical scienceArtLiteratureLawEconomicsAnthropology

Abstract

fetched live from OpenAlex

Through a close reading of Sam Shepard’ Curse of the Starving Class (1977), this article examines how the playwright’ work responded to the neoliberal economy as it began to deform and reorganize the lives of working Americans in the 1960s and 1970s by figuring neoliberalism as a nihilistic form of capitalism that cannot be adequately depicted via dramatic realism. Drawing inspiration from the work of Samuel Beckett, Curse engages neoliberalism through three formal devices: ceremonial monologues, objects that appear to magically proliferate, and elements of sacrifice – a lamb, fattened for slaughter. These three motifs are shown to subvert the causal logic of normative dramatic narrative to depict instead the new mode of neoliberal capitalism in which competition destroys familial bonds, creating only isolated individuals. It is precisely by integrating such Beckettian techniques within a realist envelope that Shepard made his family plays into a formidable demonstration of what it means to live within late industrial capitalism.

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)0.001
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 score0.013
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.013
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.228
Teacher spread0.206 · 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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