Bibliographic record
Abstract
The Renaissance philosopher Giovanni Pico della Mirandola (b. 1463–d. 1494) is best known today for his Oratio de hominis dignitate, a speech often touted as an emblematic expression of the Renaissance. Originally, however, the Oratio was intended to open a debate in Rome where Pico had hoped to dispute his Conclusiones nongentae, a work of nine hundred theses covering a vast array of philosophical, theological, and esoteric topics that Pico had published in late 1486. A papal prohibition by Innocent VIII, however, canceled the planned disputation, and Pico was excommunicated after he authored in 1487 his Apologia, a sharp defense of thirteen of the nine hundred theses that had been identified as doctrinally problematic by an ecclesiastical commission. Pico was only fully rehabilitated in 1493 by the new pope Alexander VI. Pico’s other extant works testify to his wide-ranging interests and training. In addition to studying ancient and scholastic philosophy, Pico learned Hebrew, Aramaic, and Arabic, and he was one of the first to use Kabbalah to support points of Christian doctrine. He had a life-long interest in reconciling philosophers of the past, arguing that the main oppositions between Platonic and Aristotelian metaphysics were simply verbal, and he intended to publish a work titled Concordia Platonis Aristotelisque. He had an early epistolary debate with Ermolao Barbaro on the relationship of philosophy and rhetoric, wrote on metaphysics in De ente et uno, engaged in biblical exegesis in the Heptaplus, and criticized astrology in his longest book, the unfinished Disputationes. Pico enjoyed the protection of Lorenzo de’ Medici and his intellectual contacts included Marsilio Ficino, Angelo Poliziano, and Girolamo Savonarola. Much of Pico’s work was published posthumously in 1496 by his nephew and literary executor, Gianfrancesco Pico della Mirandola. Pico was introduced to an English audience in the early 16th century by Thomas More, who produced an abbreviated English rendering of Gianfrancesco’s biography of his uncle, along with translations of three letters and several short spiritual writings by Pico.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".