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Record W7134112367 · doi:10.3138/ecf.2024-0042

Satirizing British Diplomacy: Peter Pindar and Representations of Anglo-Chinese Encounter

2025· article· en· W7134112367 on OpenAlexvenueno aff
Jennifer L. Hargrave

Bibliographic record

VenueEighteenth-Century Fiction · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentPoliticsRomanceChinaStereotype (UML)Empire

Abstract

fetched live from OpenAlex

This article examines satire’s role in representing and shaping emergent diplomatic relations between the British and Chinese empires in the late eighteenth and early nineteenth centuries. Romantic-era satires typically stereotype the Chinese imperial court to bolster Britons’ national self-image and to critique (and attend to) British foibles, particularly within Parliament and the monarchy. Thus, derogatory representations of China serve twofold to augment Britain by either affirming cultural superiority or constructively criticizing government policies. The satiric verses of John Wolcot (pseudonym Peter Pindar) are unique, offering more sympathetic representations of China reminiscent of early to mid-eighteenth-century laudatory perceptions of the Qing Empire as the embodiment of cultural sophistication, as well as political and economic stability. Pindar specifically satirizes Britain’s aspirational moments of diplomatic exchange with the Chinese. Using Pindar’s verse, this article illustrates Romantic satire’s potential to challenge Britain’s imperial aspirations by highlighting diplomatic insufficiencies and depicting an alternative global order.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.289
Teacher spread0.279 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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