Dissimulation in the <i>Commedia dell’Arte</i> Scenarios of Flaminio Scala, 1611
Bibliographic record
Abstract
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 representations of stressful occurrences within everyday life in early modern Europe, including its representations of the period’s widespread dissimulation. Among other things, the theatricality of commedia dell’arte provided a way for the audience briefly to 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 honour, 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 Flaminio Scala: the Comic Scenarios (Toronto: University of Toronto Press, 2014). In New Theatre Quarterly she has published ‘Stanislavski, Creativity, and the Unconscious’ (Vol. II, No. 8); ‘Theorizing about Performance: Why Now’ (Vol. VI, No. 23);‘ “So Many Things Can Go Together”: the Theatricality of John Cage’ (Vol. XI, No. 41); and ‘The Style of Commedia dell’Arte Acting’ (Vol. XXVIII, No. 4).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.023 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".