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Record W2299664262 · doi:10.17613/m6n88t

Dissimulation in the Commedia dell'Arte of Flaminio Scala

2015· article· en· W2299664262 on OpenAlexaboutno aff
Natalie Crohn Schmitt

Bibliographic record

VenueHumanities Commons CORE (Modern Language Association / Columbia University) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScalaArtComputer graphics (images)Computer scienceProgramming language

Abstract

fetched live from OpenAlex

Commedia dell’Arte was the most influential and widespread theatre movement in sixteenth and early seventeenth-century Europe. A considerable part of its popularity can be accounted for by its comic representation of stressful occurrences within everyday life in early modern Europe, including in its representation of the period’s widespread dissimulation, that is, the hiding of one’s true thoughts and motives by means of discretion, indirection, and outright deceit. The theatricality of Commedia dell’Arte, among other things, provided a way for the audience to briefly dissociate itself from and to fantasize about ways of coping with dissimulation. A number of characteristics of Commedia dell’Arte, including disguise, lying, tricks, spying and gossip, and portrayals of honor, previously seen as separate, cohere in the concept of dissimulation. Natalie Crohn Schmitt is Professor of Theatre and of English, Emerita, University of Illinois at Chicago. She recently published Befriending the Commedia dell’Arte of FlaminioScala: The Comic Scenarios (Toronto: University of Toronto Press, 2014).

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.018
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.083
GPT teacher head0.231
Teacher spread0.148 · 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 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
Published2015
Admission routes1
Has abstractyes

Explore more

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