Bibliographic record
Abstract
This essay reviews seven recent volumes on the commedia dell'arte: Christopher B. Balme, Piermario Vescovo, and Daniele Vianello's edited volume Commedia dell’Arte in Context (2018); Judith Chaffee and Oliver Crick's edited The Routledge Companion to Commedia dell’Arte (2014); Erith Jaffe-Berg's Commedia dell’ Arte and the Mediterranean: Charting Journeys and Mapping ‘Others’ (2016); Andrea Fabiano's La Comédie-Italienne de Paris et Carlo Goldoni: De la commedia dell’arte à l’opéra-comique, une dramaturgie de l'hybridation au XVIIIe siècle (2018); Emily Wilbourne's Seventeenth-Century Opera and the Sound of the Commedia dell’Arte (2016); Natalie Crohn Schmitt's Befriending the Commedia dell’arte of Flaminio Scala: The Comic Scenarios (2014); and Markus Kupferblum's Die geburt der neugier aus dem geist der revolution. Die commedia dell’arte als politisches volkstheater (2013).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.019 |
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; both teacher heads agree on what is shown here.
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".