Dramaturgy of the Body: Marcello Moretti's Construction of Arlecchino at the Piccolo Teatro of Milan
Bibliographic record
Abstract
In this article Gabrielle Houle examines the dramaturgical process that actor Marcello Moretti applied to his creation of Arlecchino's body in Giorgio Strehler's globally acclaimed productions of The Servant of Two Masters at the Piccolo Teatro of Milan between 1947 and 1960. She provides a critical analysis of Moretti's interdisciplinary and trans-historical research and creative process, including his study of iconographic representations of the commedia dell’arte, his observation of farmers in Padua in the mid-twentieth century, and the connections he made between his life experiences and his understanding of Arlecchino. She then examines Moretti's acting style, signature postures, and footwork, both as the international press described them and as she observed them in a video recording and in photographs of the productions. The article, based on extensive archival research at the Piccolo Teatro and on interviews with artists who knew both Moretti and Strehler, concludes with a discussion of Moretti's legacy within and beyond Italy. Gabrielle Houle is a theatre scholar, educator, and artist specializing in the recent staging history of the commedia dell’arte, contemporary mask-making practices, and masked performance. She has taught in several Canadian universities, and is a member of the Centre for Oral History and Tradition at the University of Lethbridge, where she is also an Adjunct Assistant Professor.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.036 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".