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Record W2076774907 · doi:10.3138/md.48.4.758

“Seek for Something New”: Mothers, Change, and Creativity in Tony Kushner’s <i>Angels in America, Homebody/Kabul, </i>and <i>Caroline, or Change</i>

2005· article· en· W2076774907 on OpenAlexvenueno aff
Catherine Barnes Stevenson

Bibliographic record

VenueModern Drama · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)DialecticMeaning (existential)CreativitySubject (documents)Subject matterStatus quoPsychoanalysisLiteraturePsychologySociologyAestheticsArtSocial psychologyPhilosophyEpistemologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Despite striking differences in subject matter and dramatic form, each of these works probes the connections between mothers and children; each arguably is a kind of meditation on the meaning of the death of Kushner’s own mother, Sylvia Deutscher Kushner. Angels, Homebody/Kabul, and Caroline, or Change, however, do not sentimentalize the mother–child relationship nor do they identify mother figures with some unalterable biological ground of being. Instead, “mothers” in these dramas perform actions that disrupt the status quo and the fixity of identity: they shift location, stir up change, and even multiply into doubles and triples, whose personalities and ideas sometimes mirror, sometimes contradict, each other. Thus mothers and their relationships to the next generation of children serve as important loci for dramatizing the operation of the dialectic.

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: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.032
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.080
GPT teacher head0.279
Teacher spread0.199 · 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
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

Citations7
Published2005
Admission routes1
Has abstractyes

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