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Record W2016875753 · doi:10.7202/006562ar

Lambs to the Slaughter: Leisure and Laboring-Class Poetry

2003· article· en· W2016875753 on OpenAlexvenueno aff
Bridget Keegan

Bibliographic record

VenueRomanticism on the Net · 2003
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryOppressionRealmLiteratureRepresentation (politics)Space (punctuation)Class (philosophy)HistoryGender studiesSociologyAestheticsArtPoliticsPhilosophyLawArchaeologyLinguistics

Abstract

fetched live from OpenAlex

The idea of leisure is essential to understanding how laboring-class poets conceived of themselves as writers, what they imagined the activity of poetic composition to be, and what kinds of poetic forms they felt were available to them. Further, in their poems exploring the concept of leisure, laboring-class poets illustrate an historical link between the exploitation and oppression of nature and the exploitation and oppression of the lower classes of society. It is an exploitation that is represented in poetry primarily through the suppression of leisure and the devastation of the natural or rural spaces where such leisure had occurred. This essay examines the implicit prohibition of pastoral themes for laboring-class poets from the early eighteenth to the early nineteenth centuries. Whereas early-eighteenth-century laboring-class poets depicted nature as a georgic realm, rarely representing it as the space for leisure, for early nineteenth-century poets such as Robert Bloomfield, Ann Yearsley and John Clare, the pastoral becomes the space for the poet to claim his or her rights to leisure in nature and the leisure of poetry itself. The essay argues that the expression of their protests is encoded within the generic markers of the pastoral mode, in particular through their representation of sheep and shepherds.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.267
Teacher spread0.246 · 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 teacher head, not a consensus.

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

Citations2
Published2003
Admission routes1
Has abstractyes

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