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Record W2077006125 · doi:10.3138/md.55.1.055

A Journal for Adrienne Kennedy (after <i>People Who Led to My Plays</i>)

2012· article· en· W2077006125 on OpenAlexvenueno aff
Margo Jefferson

Bibliographic record

VenueModern Drama · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsJazzSculptureAestheticsPaintingSpace (punctuation)ArtSociologyLiteratureHistoryVisual artsPhilosophy

Abstract

fetched live from OpenAlex

To make oneself an artist is difficult in any society. But when your society's cultural traditions actively discourage and devalue you, the challenge is enormous and the emotional cost is great. Adrienne Kennedy wanted to be a major writer at a time when America's literary culture took little or no interest in African-American writers of either sex or in women of any race. This essay explores the strategies Kennedy used to make herself into an original and important writer. She refused to turn her back on cultures and canons that ignored or belittled her. She took a passionate, even voracious interest in multiple traditions: English literature; American movies; classical music, spirituals, and jazz; European painting and African sculpture. She created her own artistic and personal legacies, writing stories and plays that brought these divergent genres and traditions into the same imaginative space. She explored the emotional cost without being silenced by it. In the process, she created new literary worlds and forms.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.014
GPT teacher head0.280
Teacher spread0.267 · 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
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

Citations2
Published2012
Admission routes1
Has abstractyes

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