Markham J. Geller and Strahil V. Panayotov, Mesopotamian Eye Disease Texts
Bibliographic record
Abstract
In spite of an abundance of primary sources, the study of the history of medicine in ancient Near Eastern cultures has never gained as much attention as other genres and texts concerning those cultures. Thus, most of the material is published in copies of the cuneiform texts but not as transcripts or translations, making it hard to access for a broader range of scholars. In recent years, however, the research project BabMed (Babylonische Medizin, 2013–2018), funded by the European Research Council, has focused on editing and publishing those tablets. The book presented here is part of its output. Reviewed by: Franziska Desch, Published Online (2022-07-31)Copyright © 2022 by Franziska DeschArticle PDF Link: https://jps.library.utoronto.ca/index.php/aestimatio/article/view/39094/29781 Corresponding Author: Franziska Desch,Berliner AntikekollegE-Mail: franziska.desch@berlinerantikekolleg.org
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".