Bibliographic record
Abstract
Abstract In Aristophanes’ Clouds, Socrates vents his frustration at his new pupil Strepsiades’ inability to see the eponymous chorus with the line ‘You would see them unless you have drops of rheum in your eyes as big as gourds (κολοκύνταις).’ This line is problematic, because gourds relate to eyesight in no obvious way. However, Aristophanes might have ended the verse by referring to Socrates’ initiation of Strepsiades sixty-five lines earlier by a liberal sprinkling of barley, and written ‘or you're blear-eyed with barley-groats (οὐλοχύταισι)’. If some reader added κρομ(μ)ύοις ‘with onions’ to his text as a more universally valid explanation for an eye-affliction, a later scribe might have thought this an attempted correction, and substituted κολοκύνταις, which is both metrically correct and palaeographically closer to οὐλοχύταισι than is κρομ(μ)ύοις.
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 | 0.000 | 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 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".