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Record W1485830971 · doi:10.4000/oeconomia.1021

The Political Economy of Swift’s Satires and other Prose Works

2014· article· en· W1485830971 on OpenAlexaff
Renée Prendergast

Bibliographic record

VenueOEconomia · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsSwiftPoliticsCriticismMoralityPower (physics)Political economySociologyHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

Jonathan Swift wrote perceptively about the emerging commercial society in Britain in the early eighteenth century. His particular focus was on the financial revolution and its implications for economic and political stability as well as for shifts of power between the landed and commercial classes. Following his return to Ireland Swift’s focus shifted to the developmental problems of his native country. In several pamphlets he advocated consumption of domestic products, challenged existing political structures and made trenchant criticisms of absenteeism and other dysfunctional aspects of the land tenure system. Swift’s politico-economic concerns are fully reflected in his best known work, Gulliver’s Travels but his most pointed criticism of the emerging commercial system is contained in A Modest Proposal. Written in the form of an economic pamphlet, A Modest Proposal is ostensibly designed to address the problem of poverty in Ireland. In addition to its implicit criticism of economic policy in Ireland, the pamphlet challenges the separation of economics and morality as evidenced in the writings of William Petty and Bernard Mandeville. Swift parodies Petty’s political arithmetic but it is suggested here that he also had in his sights the consequentialist reasoning present in the work of both authors but explicitly so in Mandeville.

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)0.006
metaresearch head score (Gemma)0.011
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 score0.013
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0110.034
Scholarly communication0.0130.006
Open science0.0010.004
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0080.002

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 head0.011
GPT teacher head0.270
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

Citations3
Published2014
Admission routes1
Has abstractyes

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