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Record W2060520909 · doi:10.7202/011667ar

Textual Surveillance, Social Codes, and Sublime Voices: The Tyranny of Narrative in Caleb Williams and Wieland

2005· article· en· W2060520909 on OpenAlexvenueno aff
David S. Hogsette

Bibliographic record

VenueRomanticism on the Net · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsInjusticeNarrativePoliticsOppressionPower (physics)LiteratureIdeologySociologyAestheticsArtHistoryLawPolitical science

Abstract

fetched live from OpenAlex

William Godwin and Charles Brockden Brown present narrative and textuality as Gothic mechanisms of psychological terror and political oppression. Godwin's Caleb Williams (1794) directly addresses the issues of social injustice and the abuses of political power that he examines in Enquiry Concerning Political Justice (1793), and these two works had an immense ideological and artistic influence on Brown's American Gothic tale Weiland (1798). Though both authors were in some ways anti-Gothic, they indeed chose this popular genre in order to reach, as Godwin notes in his preface, "persons whom books of philosophy and science are never likely to reach." As the genre dictates, these novels do provide some of the classic Gothic mechanisms such as ruinous dungeons, creepy castles and mansions, and mysterious, dark figures. However, the main source of Gothic terror in these novels is the oppressive misuse of language. Located within the anxiety and uneasiness evoked by these abuses of language and textual entrapments are Godwin's and Brown's political comments concerning the power relationships between governments and individuals.

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)0.008
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 score0.015
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0100.045
Scholarly communication0.0140.008
Open science0.0010.005
Research integrity0.0020.002
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 head0.012
GPT teacher head0.271
Teacher spread0.259 · 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

Citations8
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueRomanticism on the NetSame topicGothic Literature and Media AnalysisFrench-language works237,207