Bibliographic record
Abstract
Bernardo Giustiniani (b. 1408–d. 1489) was a prominent Venetian humanist, politician, and diplomat of the middle and late 15th century. He was tutored by Guarino Veronese and George of Trebizond before studying arts and law at the university at Padua. He was known for his numerous orations and epistolary relationships, but his reputation rests principally on his history of Venice, De origine urbis Venetiarum rebusque ab ipsa gestis historia (hereafter abbreviated De origine urbis). This text is considered a significant and modern work of Venetian historiography of the 15th century. Giustiniani also played a substantial diplomatic role for Venice in the midst of a turbulent century: he was ambassador from Venice to Emperor Frederick III, the French king Louis XII, Popes Pius II and Paul II, Naples, Ferrara, and Milan. Giustiniani was also elected by either the Senate or the Maggior Consilio to other posts; he was a ducal councilor, a member of the Council of Ten, and eventually one of the nine procurators of St. Mark—the second-highest positions in the republic, after the doge. A key humanist in his own right, he was also a significant patron of others, and altogether a major figure in late-15th-century Venetian culture, society, and politics.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.066 | 0.054 |
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".