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Record W3161577902 · doi:10.1215/00982601-8718633

Civil Rage

2020· article· en· W3161577902 on OpenAlexaff
Thomas Keymer

Bibliographic record

VenueEighteenth-Century Life · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSpanish Civil WarPoetryRage (emotion)LiteratureKinshipCharacter (mathematics)Relation (database)Gray (unit)EnlightenmentPhilosophyHistoryLawArtEpistemologyPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

This essay approaches the Jacobite rising of 1745–46 as constituting, by most Enlightenment and modern definitions, a civil war, and considers the implications for poems written during or soon after the rising by William Collins, Hester Mulso (later Chapone), Tobias Smollett, and others. Classical tropes of civil war are among the literary features structuring these poems, which often take the form, more specifically, of odes, exploiting the formal capacity of the ode to dramatize internal division. Roman concepts of bellum civile and “Intestine Wars” (Pope’s Pharsalian expression from Windsor-Forest) are obviously to the fore. So, more interestingly, are the Athenian syntagmata recently emphasized by Nicole Loraux and, following her, Giorgio Agamben: stasis emphylos, an internecine conflict particular to the phylon, to lineage or blood kinship; haima homaimon, the murder of a blood relation, literally blood of the same blood; oikeios polemos, war within the household or among kinsmen. The common thread is the notion of murderous familial breach as a way of catching the paradox and horror of civil conflict while also indicating possible grounds of future reconciliation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.025
GPT teacher head0.266
Teacher spread0.241 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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