A SYNTACTICAL HELLENISM AT HORACE, <i>SATIRES</i> 1.3.120–1, AND A POSSIBLE IMITATION IN LIVY
Bibliographic record
Abstract
Horace, Satires 1.3.117–23, as transmitted: adsit regula, peccatis quae poenas inroget aequas, ne scutica dignum horribili sectere flagello. nam ut ferula caedas meritum maiora subire 120 uerbera non uereor, cum dicas esse paris res furta latrociniis et magnis parua mineris falce recisurum simili te, si tibi regnum permittant homines. Let there be a rule to impose fair penalties for transgressions, lest you pursue with terrible scourge one deserving but the stick. You see, I don't fear that you will strike with a schoolmaster's rod one who has earned more serious lashing when you say mere thefts are of a pair with brigandage and threaten to trim little things and great with like sickle, would the world but grant you power. Horace is attacking the Stoics for their doctrine that all sins are equal. The overall run of sense must be that given above. If kept, the ut of line 120 must then have the value of ne: were it allowed its normal meaning in expressions of fear (‘lest not’) the opposite of what is required would be said. The oddity of the construction was long excused as a sort of anacoluthon, provoked by the postponement of uereor. Such defences of the received text were rightly criticised by Palmer and Housman: ‘incredible’, they both concluded, and indeed it is incredible that Horace could have in such a short space forgotten what he had written, and forgotten it in such a way as to say the opposite of what he meant.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.036 | 0.017 |
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".