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Record W1973990511 · doi:10.3138/md.52.1.57

<i>The Emperor Jones</i> and National Trauma

2009· article· en· W1973990511 on OpenAlexvenueno aff
Susan Harris Smith

Bibliographic record

VenueModern Drama · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeRacismHistoryAllegoryEmperorTrilogyLiteratureEmbodied cognitionRealismArtSociologyGender studiesPhilosophyAncient history

Abstract

fetched live from OpenAlex

This essay interprets The Emperor Jones as a Benjaminian allegory, a traumatic confrontation between the audience and the shocking scenes from America's racial history in which the sudden shifts of reverse chronology as well as the rhythmically induced physiological tension disrupt the expectations of realism to dramatize the genealogy of the national trauma which, as David Blight argues in Race and Reunion, resulted from slavery and the failure of Reconstruction after the Civil War. Using trauma theory, especially that as articulated by Ruth Leys in Trauma: A Genealogy and Cathy Caruth in Unclaimed Experience: Trauma, Narrative, and History, the essay considers the ways in which O'Neill disturbed the master narrative of naturalized racism and national amnesia and the dramatic and theatrical ways in which the trauma to the nation is both embodied in the trauma to Jones and extended to include the audience.

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: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0120.022
Scholarly communication0.0080.005
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.024
GPT teacher head0.235
Teacher spread0.211 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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