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Record W2489589343 · doi:10.1057/9781137373137_4

‘Genus Porcus Sophisticus’

2015· book-chapter· en· W2489589343 on OpenAlexaff
Monica Mattfeld

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2015
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsCreaturesStupidityPoliticsIdentity (music)ImmoralityMultitudeSociologyAestheticsPsychoanalysisArtHistoryPhilosophyNatural (archaeology)PsychologyPolitical scienceMoralityEpistemologyLaw

Abstract

fetched live from OpenAlex

Pigs were ‘creatures of the threshold’ and objects of both ‘fear and fascination’ for much of the eighteenth century. They were hybrid, at once fully animal but also disturbingly human. On the one hand, they were valued members of the household economy and cherished for their company; on the other, they were considered hideous creatures associated with untamed desires, ‘unclean souls’, base morals and sin (Stallybrass and White, 1986, p. 47; Mizelle, 2011, p. 36). Pigs’ ambiguous human-animal nature, frequently articulated along class lines and always political, resulted in ‘typical pig imagery [that] scourges immorality and critiques departures from social norms as leading to potential disorder and social instability’ (Fisher, 2000, p. 304). Samuel Johnson, for example, considered them creatures ‘remarkable for stupidity and nastiness’, Alexander Pope equated them with the ‘dirty’ and mindless mob, and Edmund Burke famously used their imagery to drive home his views of the labouring classes as the ‘swinish multitude’ (qtd. in Fisher, p. 303–5). Pigs and the people associated with them were often cause for concern, and this widespread association of the animals with social upheaval, intellectual deficiency and lax morals are the focus of this chapter. Looking specifically to the exceptional career of one pig in particular, the famous Learned Pig, this chapter examines the influence and role of live animals in understandings of animality and the performance of national identity alongside embodiments of ‘human’ and ‘animal’ at the end of the eighteenth century.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.057
GPT teacher head0.310
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations11
Published2015
Admission routes1
Has abstractyes

Explore more

Same venuePalgrave Macmillan UK eBooksSame topicGeographies of human-animal interactionsFrench-language works237,207