Paul Kalligas, Chloe Balla, Effie Baziotopoulou-Valavani, and Vassilis Karasmanis, Plato’s Academy: Its Workings and Its History
Bibliographic record
Abstract
When it comes to ancient Greek philosophy, the story of Plato’s Academy is as romantic as it gets. In a familiar version, the story begins with Plato’s return from his travels around the Mediterranean. Having acquired a piece of land in a public Athenian garden bearing the name of the mythical hero Hecademus or Academus, Plato established a community that attracted leading intellectuals of the day as well as promising youngsters, male and female, of the Greek elite. For the last four decades of his life, he conducted philosophical conversations with them, gave the occasional public lecture, and supervised various research projects in dialectics and in higher geometry. Reviewed by: Máté Veres, Published Online (2022-07-31)Copyright © 2022 by Máté VeresArticle PDF Link: https://jps.library.utoronto.ca/index.php/aestimatio/article/view/39103/29789 Corresponding Author: Máté Veres,University of TorontoE-Mail: mate.veres@utoronto.ca
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".