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Record W4321499061 · doi:10.5430/wjel.v13n2p393

Henry Fielding’s Shamela and Joseph Andrews as Counternarratives to Samuel Richardson’s Pamela

2023· article· en· W4321499061 on OpenAlexvenueno aff
K. Muhammad

Bibliographic record

VenueWorld Journal of English Language · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVirtueServantNarrativeSkepticismHypocrisyPlot (graphics)CriticismCharacter (mathematics)PhilosophyLiteratureArtSociologyEpistemologyTheology

Abstract

fetched live from OpenAlex

This paper sheds light on the immediate counternarrative response to the publication of Samuel Richardson’s Pamela in 1740. Upon its publication, the female servant Pamela gained popularity among readers for her exemplary chastity, morality and virtue. This paper discusses the writings of Henry Fielding as a leading anti-Pamela approach through two subsequent narratives, Shamela (1741) and Joseph Andrews (1742). Fielding and others saw in Pamela a direct threat to 18th-century normative servant-master and aristocrat-bourgeois relations. In his novels, Fielding uses multiple literary motifs to confront Pamela’s readership with their beloved character’s hypocrisy and deception. Through his works, Fielding breaks down Richardson’s narrative to present Pamela as the deceptively structured plot of a hypocritical servant to marry her master and elevate her social status. Fielding bridges his narrative with Richardson’s novel to create a mode of skepticism concerning the moral values of Pamela’s readers. In Joseph Andrews, Fielding extends his criticism, presenting the novel as an offshoot to Richardson’s Pamela and highlighting an alternative reality to expose Pamela’s false images of chastity and virtue.

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0110.015
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.263
Teacher spread0.248 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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