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Record W2995512317 · doi:10.3138/cras.2018.020

Chain-Gang Gothic: <i>The Colonel’s Dream </i>and the Spectacular Terrors of State Punishment

2019· article· en· W2995512317 on OpenAlexvenueno aff
Jason Haslam

Bibliographic record

VenueCanadian Review of American Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonIgnoranceDreamWhite (mutation)State (computer science)White supremacyPunishment (psychology)Privilege (computing)SpectacleLawPhilosophyAestheticsArtPolitical sciencePsychologyRacism

Abstract

fetched live from OpenAlex

Charles Chesnutt’s 1905 novel The Colonel’s Dream meditates on the structures of spectacle and ignorance that create a continuity of white privilege and white supremacy from North to South, and on the role that the nascent prison-industrial complex plays in that process. Chesnutt uses occasional gothic irruptions within his otherwise realist and sentimental form to show how “hidden” and spectacular punishments, legal and extra-legal state violence, all function to impose a purposeful ignorance of their very existence: punishments, their spectacular renditions, and the public’s turning away from them combine to become a structuring aporia that maintains white supremacy in the face of democratic resistance.

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 score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0070.017
Scholarly communication0.0080.005
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.293
Teacher spread0.282 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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