Bibliographic record
Abstract
Index of SubjectsAcademics, withdrawal from political life 492 Achaian League 133, 191, 258, 259 action collective 8, 70-1 linked with character 436 moral 426-7 passions as motive for 283 political 14, 27-8, 543, 544-9, 553-4 public 70-84 activities civic 14, 60-1 hierarchies of 399 public: financed by wealthy 65, 66, 143, 239; participation in 143 Adam and Eve 503, 504, 505, 519, 522 adultery 167, 168, 171 advice, wise, and contemplative life 487-8 Aegean islands, population 63 Aemilius Paullus 460 Aeschines democracy 141, 155-6, 244 equality 135 law 171 manliness in 103, 104 Aeschylus Athenian empire 91 democracy 237-8 Eumenides 442, 445-8, 453 military valor 285-6 Aesopus the actor 316-17 Aetolian League 67, 254, 258, 483 Africa, politics of consensus 160 afterlife 10, 551 rulers 278 Socrates on 335 age and assignment to centuries 217 and citizenship: Greece 60, 61; Rome 68 see also old citizens; old men; young men Agesilaus, King 482 character of 431-2, 457 Agricola 464 agriculture 410 Alcaeus, good and bad rule 234, 235-6 Alcibiades 167, 349, 467 adaptability of 474, 477, 480 biography of 431 downfall of 239-40 lack of moderation 466 love for Athens 297-8 private life 166 and Socrates 359 Alexander the Great 244, 247, 254, 260, 482 Caesar linked with 468 character of 465-6 claimed links to 250 compared with Germanicus 463 cosmopolitanism 479-80 as god 252 alternative communities 492
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 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.699 | 0.508 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".