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Record W3010220202 · doi:10.3138/ecf.32.2.317

Philosophy in Austen’s Pump Room: How Enlightened Tolerance Became Disgust

2019· article· en· W3010220202 on OpenAlexvenueno aff
Hannah Lee Rogers

Bibliographic record

VenueEighteenth-Century Fiction · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
Fundersnot available
KeywordsDisgustTastePersuasionRealmAestheticsPoliticsCharacter (mathematics)SublimeSociologyPsychologySocial psychologyPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

This article reads Immanuel Kant’s “Perpetual Peace” (1795) alongside Jane Austen’s Emma (1815) and Persuasion (1817) to show how national character—a concept grounded in shared taste through culture rather than territory—could be maintained in a rapidly globalizing world. Kant proposed tolerance as a way to allow travellers to move across the globe peacefully without having to abandon their national character. Austen’s Emma portrays taste as able to do the political work necessary to stabilize country house culture by linking the enactment of taste in the Highbury community to something like Kantian tolerance. As Persuasion demonstrates, however, tolerance’s toothlessness becomes apparent when the national community is detached from territory. By replacing tolerance with disgust, Persuasion’s mobile community can protect itself from those who might degrade it. Austen’s marriage of taste and disgust places each individual who passes the taste test into a realm of friendship with those of like mind, making this community the bearer and defender of the English way of life wherever it may be located geographically.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.019
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.060
Scholarly communication0.0110.013
Open science0.0010.007
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0070.001

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 head0.021
GPT teacher head0.267
Teacher spread0.246 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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Same venueEighteenth-Century FictionSame topicAnthropological Studies and InsightsFrench-language works237,207