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Milton, Marvell, and the Amorous Theology of Vegetables

2021· article· en· W3197496539 on OpenAlexaff
Elizabeth Hodgson

Bibliographic record

VenueMilton Studies · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInnocencePassionsParadiseNarrativeParadise lostGarden of EdenPoetryLiteratureMythologyPoliticsConsumption (sociology)ArtPhilosophyHistoryAestheticsArt historyPsychoanalysisPsychologyLaw

Abstract

fetched live from OpenAlex

ABSTRACT In the mid-seventeenth century, vegetarianism acquires both a new political energy and a new philosophical narrative of origins. Andrew Marvell's and John Milton's contemporaries across the political spectrum are increasingly invested for differing reasons in an Eden in which plants and people nourish each other in innocence. Marvell in “The Garden” builds on this narrative, imagining a Paradise in which fruits offer themselves to the speaker in a strenuous and sexualized consumption. Milton in Paradise Lost partly adopts Marvell's vegetarian passions, as his Eve both loves and eats her amorous Edenic garden. Both Marvell and Milton, however, distance themselves in different ways from any direct correlations between Eve's vegetarian cuisine and the innocence of Eden. Although both poets invoke the vegetarians' myth of origins, they also avoid some of the correlative theories of gender and purity with which that philosophy was often elided.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.015
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.238
Teacher spread0.211 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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