Il teatro tra Quattrocento e Seicento: studi in onore di Konrad Eisenbichler
Bibliographic record
Abstract
The international scholarly community dedicates the monographic volume Il teatro tra Quattrocento e Seicento to Konrad Eisenbichler, a refined scholar and keen critic, who, through texts and theatrical performances, captures the depth and infinite variety of scenes from daily life—a chiasmus of laughter and tears, as Giordano Bruno notes in the frontispiece of Candelaio, " In tristitia hilaris, in hilaritate tristis," a motto elevated by Pirandello to the emblem of Humour. The volume gathers contributions from Nerida Newbigin, Francesca Bortoletti, Anna Maria Testaverde, Gianni Cicali, Matteo Leta, Michel Plaisance, Johnny L. Bertolio, Maria Galli Stampino, Rosalind Kerr, Pasquale Sabbatino, Francesco Divenuto, Ambra Moroncini, who enthusiastically accepted the invitation to celebrate Konrad Eisenbichler’s long career of research and teaching at the University of Toronto, on the occasion of his seventy-fifth birthday, warmly paying tribute to the Master, the friend, and the colleague.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".