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Record W3181164691 · doi:10.1017/9781108773522.024

Wright, Psychoanalysis, and Fredric Wertham’s Reading of <i>Hamlet</i>

2021· book-chapter· en· W3181164691 on OpenAlexaff
Stephan Kuhl

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWrightPsychoanalysisFreudian slipPsychoanalytic theoryPhilosophyHAMLET (protein complex)LiteratureArt historyArtPsychology

Abstract

fetched live from OpenAlex

The essay provides an overview of Wright’s engagement with psychoanalysis. It traces Wright’s literary adaptations of psychoanalysis from his first completed novel Lawd Today! to his later writings and surveys his collaborations with the German-American social psychiatrist Fredric Wertham. Wertham’s studies of matricide provided Wright with the material for his novel Savage Holiday (1954), which has long been recognized as his most explicitly psychoanalytic fiction. Wertham developed his theory of matricide partly through a critique of Sigmund Freud’s interpretation of Hamlet and he repudiated Freud’s claim of the universality of the Oedipus complex. In contrast to the critical consensus that reads Savage Holiday as an orthodox depiction of an Oedipus complex, the essay traces the novel’s indebtedness to Wertham’s work and its relation to Wright’s anti-colonial nonfiction. Within these contexts, Savage Holiday appears as a critique, rather than an orthodox representation of Freudian psychoanalysis. Through this rereading of the novel, the social history of matriarchy emerges as an important theme of Wright’s writings of the 1950s.

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 score0.006
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.014
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.202
Teacher spread0.166 · 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
Published2021
Admission routes1
Has abstractyes

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