Bibliographic record
Abstract
THE TEMPLE OF ZEUS OLYMPIUS AT GERASA has yielded several inscribed dedications, which identify for us the god of the place.' Three texts derive from one man, Theon, who was a suppliant in the temple in A.D. 69/70. The few scholars who have tried to reconstruct his story are greatly at variance. R. O. Fink thought that he was a Gerasene who dedicated his children to the god as slaves in some oriental manner.2 Welles (1938: 377), who knew from another inscription (I. Gerasa no. 30) that Gerasa had the civic title sacred and inviolable, thought that Theon had availed himself of a Greek privilege and taken refuge in Gerasa from some other city. Theon's case is worth exploring, as this is one of the rare episodes of temple-refuge in the documentary record. We have two stones, which contain between them three texts inscribed by three hands.3 I. Gerasa no. 5:
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".