'Voce concordi'. Scritti per Claudio Zaccaria
Bibliographic record
Abstract
Raccolta di scritti in onore di Claudio Zaccaria da parte di sessantasei studiosi appartenenti a Italia, Francia, Austria, Germania, Spagna, Slovenia, Croazia, Finlandia e Canada. I temi trattati dai maggiori specialisti nel panorama della ricerca riguardano i principali filoni di ricerca dell'onorato con contributi sulla storia dell'amministrazione e dell'economia della città antica attraverso le fonti epigrafiche. Largo spazio ha lo studio dell'instrumentum con lavori su classi specifiche di materiali. Sono presenti contributi di Aounallah, Samir; Maurin, Louis; Baratta, Giulia; Berard, François; Bruun, Christer; Buonocore, Marco; Buonopane, Alfredo; Chausson, François; Maritain, Elisa; Buora, Maurizio; Magnani, Stefano; Camodeca, Giuseppe; Casella, Valentina; Petraccia, Maria Federica; Cenerini, Francesca; Chelotti, Marcella; Chiabà, Monica; Chioffi, Laura; Christol, Michel; Cigaina, Lorenzo; Cimarosti, Elena; Cipriano, Silvia; Mazzocchin, Stefania; Cresci Marrone, Giovanella; Donat, Patrizia; Eck, Werner; Evangelisti, Silvia; Fantar, Mounir; Zucca, Raimondo; Mastino, Attilio; Foraboschi, Daniele; Gomezel, Cristina; Granino Cecere, Maria Grazia; Gregori, Gian Luca; Hainzmann, Manfred; Ibba, Antonio; Kurilic, Anamarija; Lafer, Renate; Maggi, Paola; Magioncalda, Andreina; Marengo, Silvia Maria; Marion, Yolande: Tassaux; Matijasic, Robert; Mayer i Olivé, Marc; Mennella, Giovanni; Migliorati, Guido; Nonni, David; Orlandi, Silvia; Paci, Gianfranco; Panciera, Silvio; Piso, Ioan; Prenc, Fabio; Reali, Mauro; Ricci, Cecilia; Roccia, Michele; Sablayrolles, Robert; Salomies, Olli; Sartori, Antonio; Scuderi, Rita; Silvestrini, Marina; Solin, Heikki; Starac, Alka; Sasel Kos, Marjeta; Todisco, Elisabetta; Ventura, Paola; Wedenig, Reinhold; Witschel, Christian
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.029 | 0.015 |
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".