Bibliographic record
Abstract
SOCRATES ON TRIALMore than 2,400 years after his death, Socrates remains an iconic but controversial figure.To his followers, he personified progressive Greek ideals of justice and wisdom.To his detractors, he was a corruptor of the young during wartime and one of the reasons Athens suffered its humiliating defeat at the hands of Sparta in 404 BC.Socrates' story is one of historic proportions and his unyielding pursuit of truth remains controversial and relevant to the present day.Socrates on Trial presents the story of Socrates as told to us by Aristophanes, Plato, Xenophon, and others.The play uses fresh language to emphasize what is important in the works of these ancient authors, while at the same time remaining faithful to the general tenor and tone of their writings.Andrew Irvine has created a script that not only fits comfortably into the space of a single theatrical performance, but is also informative and entertaining.Suited for informal dramatic readings as well as regular theatrical performances, Socrates on Trial will undoubtedly appeal to instructors and students alike.Complete with production and classroom notes, this modern recasting of the Socrates story will make riveting reading both inside and outside the classroom.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.833 | 0.642 |
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".