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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.016 | 0.010 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.122 | 0.016 |
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".