Bibliographic record
Abstract
‘Lesbos,’ the setting of Longus’ Daphnis and Chloe , was a ‘place of the imagination’ as significant as the ‘Thebes’ of Athenian tragedy, as can be seen from Catullus’ use in poem 51 of the pseudonym Lesbia for his lover, about whom Havelock claimed in 1967 that the ‘aura of Lesbos was round her head.’ This ‘aura’ recalls the island’s position as the place where poetry and music have been most at home. The same ‘aura’ informs the portrayal of the island in King Apollonius of Tyre (33–47), in the appreciation by the citizens of Mytilene of Tarsia’s lyre-playing, education, and singing, qualities which enable her to escape degradation in the brothel and lead to her integration with her father. Hugh Mason is Associate Professor of Classics at the University of Toronto. Besides ancient novels, he is interested in the history and culture of Lesbos. Publications include ‘ Fabula Graecanica ,’ Aspects of Apuleius’ Golden Ass , 1–15 (Groningen 1978); ‘Longus and the Topography of Lesbos,’ TAPA 109: 149–163; ‘Romance in a limestone landscape,’ CP 90: 263–266; ‘Chai-reas and Chariton and New Comedy,’ CB 78: 21–27; ‘Winter on Lesbos; Imagination and Reality,’ Mouseion 3,3: 285–294.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".