Bibliographic record
Abstract
Le biografie ricostruiscono il contesto storico e percorso professionale dei principali fotografi italiani e/o attivi in Italia nella seconda metà del XX secolo. Il lavoro di ricerca storica svolto per la realizzazione delle biografie ha permesso di definire l'identità di fotografi come Joseph Leombruno e Jack Bodi, fotografi di nazionalità statunitense attivi in Italia dalla metà degli anni Cinquanta ed erroneamente dati come una coppia (marito e moglie) di fotografi italiani. Il contributo documenta il lavoro dei seguenti fotografi: Maria Vittoria Backhaus, Vanessa Beecroft, Manfredi Bellati, Flavio Bonetti, Fiorenzo Borghi, Vanni Burkhart, Sergio Caminata, Silvia Camporesi, Antonio Capa, Max Cardelli, Alfa Castaldi, Elisabetta Catalano, Loris Cecchini, Davide Cernuschi, Antonio Cesano, Gianmarco Chieregato, Manlio Conte, Diego D’Alessandro, Pasquale De Antonis, Mario De Biasi, Gianni Della Valle, Martina Della Valle, Alberto Dell’Orto, Giovanni Maria Fadigati, Aldo Fallai, Pierpaolo Ferrari, Fabrizio Ferri, Angelo Frontoni, Diego Fuga, Stefano Galuzzi, Andrea Gandini, Giovanni Gastel, Piero Gemelli, Arturo Ghergo, Fabrizio Gianni, Marco Glaviano, Renato Grignaschi, Elsa Haertter, Bob Krieger, Marco La Conte, Leombruno-Bodi, Armin Linke, Giovanni Lunardi, Elio Luxardo, Tiziano Magni, Rennio Maifredi, Toni Meneguzzo, Johnny Moncada, Stefano Moro, Antonia Mulas, Ugo Mulas, Occhiomagico, Carlo Orsi, Stefania Paparelli, Federico Patellani, Manuela Pavesi, Publifoto, Roberto Quagli, Regina Relang, Alberto Rizzo, Willy Rizzo, Elsa Robiola, Paolo Roversi, Franco Rubartelli, Mario Santana, Laura Sciacovelli, Ferdinando Scianna, Fortunato Scrimali, Tazio Secchiaroli, Elisabetta Senesi, Mario Sorrenti, Andrea Spotorno, Lina Tenca, Toni Thorimbert, Alberta Tiburzi, Riccardo Tinelli, Oliviero Toscani, Paolo Ventura, Francesco Vezzoli.
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 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 | 0.004 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.484 | 0.344 |
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".