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Record W4388960861 · doi:10.5430/wjel.v14n1p224

The Reception of Jonathan Swift throughout the Victorian Era: Diverse Perspectives of Swift among Critics

2023· article· en· W4388960861 on OpenAlexvenueno aff
Raed Awad Al-Ramahi, Abdelhameed Al Awabdeh, Shireen Alkurdi

Bibliographic record

VenueWorld Journal of English Language · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsnot available
Fundersnot available
KeywordsSwiftHumanismLiteratureHistoryColonialismArgumentativeArt historyArtPhilosophyEpistemologyTheology

Abstract

fetched live from OpenAlex

Jonathan Swift, a prominent figure in the literary landscape of the eighteenth century, was widely recognized for his provocative and controversial satirical works. Scholars and literary experts have engaged in ongoing discussions and analysis over the controversial nature of his literary creations throughout the span of several centuries. While certain critics have said that his written works exhibit signs of misogyny, racism, and colonialism perspectives, alternative perspectives have seen him as a potent advocate for humanism and a catalyst for social change. This research focuses on the Victorian Era, spanning from 1837 until the death of Queen Victoria in 1901, and explores the various interpretations of Jonathan Swift's literary works within this historical period. This research draws upon the perspectives of several critics, such as Kelly, Orrery, Real, Thackeray, Macaulay, Graik, Bucknill, LoForte-Rand, and Taine, to assert that Swift was a figure of considerable controversy. The current study has also reached the finding that Swift demonstrated argumentative inclinations. The existence of multiple readings of Swift's Gulliver's Travels serves as support for this claim.

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)0.009
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0300.040
Scholarly communication0.0140.006
Open science0.0010.007
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.245
Teacher spread0.233 · 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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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