Bibliographic record
Abstract
In Book 9 of Plato's Republic we find three proofs for the claim that the just person is happier than the unjust person. Curiously, Socrates does not seem to consider these arguments to be coequal when he announces the third and final proof as ‘the greatest and most decisive of the overthrows’ (μέγιστόν τε καὶ κυριώτατον τῶν πτωμάτων) (583b7). This remark raises a couple of related questions for the interpreter. Whatever precise sense we give to μέγιστον and κυριώτατον in this passage, Socrates is clearly appealing to an argumentative standard of some kind, and claiming that his final argument alone meets (or comes closest to meeting) this standard. But what precise standard is Socrates invoking here? And given that the first two arguments of Book 9 fall short of this (as yet undetermined) standard, why does he not simply leap directly to the third, most decisive proof?
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".