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Record W7053073015

Spheres of Action: Speech and Performance in Romantic Culture

2009· other· en· W7053073015 on OpenAlexaboutno aff

Bibliographic record

VenueZurich Open Repository and Archive (University of Zurich) · 2009
Typeother
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPerformative utteranceRomancePerformativityMateriality (auditing)ElegiacRomanticismBlasphemyDramaStyle (visual arts)
DOInot available

Abstract

fetched live from OpenAlex

Ten essays, presented by Dick (English, U. of British Columbia, Canada) and Esterhammer (English, U. of Zurich, Switzerland), explore the culture of British romanticism in terms of intersections between language and performativity. The contributions are organized into two sections: "Public Speaking," which focuses on language and its interconnections to physical spaces, media, and institutions in which words have their effect, and "Body Language," where interpretations of material performance and bodily action occur within verbal and ideological context. Specific topics include the materiality of the lecture venues of Samuel Taylor Coleridge and the performative mode of composition of the lectures; the elegiac style of William Wordsworth as a performative genre that promotes the authority of a subjective voice through the material power of writing and printing; performative aspects of parody in Percy Bysshe Shelley's The Cenci and in contemporary blasphemy trials; the implications of material performance in the "theaters" of the stage, the House of Commons, the salon, and the sporting arena; the ways Romantic drama thematized action and performativity; cross-dressing and the performativity of gender in comic plays by women; and the role of body language in the construction of the foreign and the domestic in Madame de Staël's Corinne and Lord Byron's Don Juan. (Annotation ©2009 Book News Inc. Portland, OR)

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.507
Threshold uncertainty score0.593

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)0.0000.000

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 head0.007
GPT teacher head0.186
Teacher spread0.179 · 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
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
Published2009
Admission routes1
Has abstractyes

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