Bibliographic record
Abstract
Abstract Halfway through his conversation with Sokrates in the Gorgias, Polos claims that it would be easy to refute the philosopher's argument that it is better to act with justice than without it. Asking his interlocutor to proceed with the refutation, Sokrates urges him (470c): 'do not tire of doing favours (ευεργετων) for a friend'. In its metre and sense, this phrase is reminiscent of Pindaric lyric, and its vocabulary recalls that of Olympian 2.93-4 in particular; it will be argued here that a 'Pindaric' reading of Sokrates' injunction to Polos is appropriate. Sokrates' adoption of the language of a laudator of tyrants at this point in the conversation is relevant to the presentation in the Gorgias of related themes (flattery, tyranny, and euergesia) and to Sokrates' eironic posture in the dialogue; it also suits Platonic treatments of Pindar and poetry in general.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.022 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".