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Record W4240303593 · doi:10.5117/9789463728010

Games and War in Early Modern English Literature

2019· book· en· W4240303593 on OpenAlexaff
Holly Faith Nelson, James William Daems, Sharon Alker, Karol Cooper, David Currell, Ali Akbar Rezaei Lori, Katherine Ellison, Louise Fang, Jeffrey Galbraith, Sean Lawrence

Bibliographic record

VenueAmsterdam University Press eBooks · 2019
Typebook
Languageen
FieldSocial Sciences
TopicMartial Arts: Techniques, Psychology, and Education
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsDramaSwiftIdeologyLiteraturePoetryAphraField (mathematics)HistoryArtAestheticsPoliticsLawPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This pioneering collection of nine original essays carves out a new conceptual path in the field by theorizing the ways in which the language of games and warfare inform and illuminate each other in the early modern cultural imagination. They consider how warfare and games are mapped onto each other in aesthetically and ideologically significant ways in the early modern plays, poetry or prose of William Shakespeare, Thomas Morton, John Milton, Margaret Cavendish, Aphra Behn, and Jonathan Swift, among others. Contributors interpret the terms 'war games' or 'games of war' broadly, freeing them to uncover the more complex and abstract interplay of war and games in the early modern mind, taking readers from the cockpits and clowns of Shakespearean drama, through the intriguing manuals of cryptographers and the ingenious literary wargames of Restoration women authors, to the witty but rancorous paper wars of the late seventeenth and early eighteenth centuries.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.848
Threshold uncertainty score0.967

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.250
Teacher spread0.234 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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