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Record W2395397454 · doi:10.3138/md.59.2.6

Politics, Pathology, Suicide, and Social Fates: Tony Kushner’s <i>The Intelligent Homosexual’s Guide to Capitalism and Socialism with a Key to the Scriptures</i>

2016· article· en· W2395397454 on OpenAlexvenueno aff
Margaret Morganroth Gullette

Bibliographic record

VenueModern Drama · 2016
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
FundersBrandeis University
KeywordsCapitalismPoliticsDestiny (ISS module)SocialismKey (lock)SociologyPsychoanalysisAestheticsPsychologyPolitical scienceLawPhilosophyComputer securityEngineering

Abstract

fetched live from OpenAlex

Many older characters in recent plays become, or think they will become, “demented.” Being old – the oldest person in the dramatis personae – is suddenly glued to cognitive weakness. The cultural message now spreading throughout our frightened world is this: if a person this old has this future as a fate, considering suicide is almost obligatory. This destiny is one of the not-so-subtle messages emanating from a group of such plays, and from the one that this essay focuses on, Tony Kushner’s The Intelligent Homosexual’s Guide to Capitalism and Socialism with a Key to the Scriptures. How is it possible that a visionary who rallied so courageously on behalf of people with HIV/AIDS in the early 1990s fails to find a way of defending a character (and by extension, people) with mild cognitive impairment (MCI)? Kushner’s dramatic choices – especially his protagonist Gus’s noble political despair – might have made superfluous the choice of Alzheimer’s to drive his mourning-play. The real illness of this character is neither Alzheimer’s nor a death drive but the impotence of radical activism, individual and collective.

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)0.002
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.018
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.030
GPT teacher head0.328
Teacher spread0.298 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

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