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Record W4413077449 · doi:10.3138/md-68-2-1394

Cold War Diva: <i>Medea</i>, 1947

2025· article· en· W4413077449 on OpenAlexvenueno aff
Fiona Gregory

Bibliographic record

VenueModern Drama · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsnot available
Fundersnot available
KeywordsDramaPoliticsSensibilityEntertainmentRealismAestheticsLiteratureHistoryTheatre studiesConservatismArtSociologyLawVisual artsPolitical science

Abstract

fetched live from OpenAlex

Robinson Jeffers’s adaptation of Euripides’ Medea, starring Judith Anderson in the title role, was one of the most successful works on Broadway in the immediate post-war period. This work’s extraordinary critical and popular success is surprising on a number of levels: as an adaptation of classical Greek drama and as a highbrow offering by a politically controversial writer. With little theatre experience to date, Jeffers produced an intellectually demanding work of serious poetic drama infused with his radical sensibility at a time when the theatre landscape was fostering light entertainment or psychological realism and political, social, and cultural agendas were shifting forcefully toward conservatism. That Jeffers’s play could become so popular in 1947 and, even more remarkably, be selected four years later to represent the United States at the Berlin Arts Festival speaks to the way the play in performance complicated the politics of the text. Anderson’s playing of the title role worked against the text’s liberal politics, enabling it to be recuperated as an emblem of American Cold War conservatism. This article identifies strands in Anderson’s performance that, in their dialogue with Jeffers’s text, help explain both the adaptation’s extraordinary success and the production’s ongoing significance as a liminal moment in American theatre and acting.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.609
Threshold uncertainty score0.896

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.201
Teacher spread0.187 · 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 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
Published2025
Admission routes1
Has abstractyes

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