Bibliographic record
Abstract
In July 2011 and July 2012, two seasons of excavation were conducted in Manot Cave (License Nos. G-60/2011, G-61/2012; map ref. 21835-45/77105-15). The excavations, undertaken on behalf of the Israel Antiquities Authority, Ben-Gurion University of the Negev and Tel Aviv University and funded by the Dan David Foundation, the Irene Levi-Sala Foundation and the Israel Antiquities Authority, were directed by O. Barzilai, O. Marder and I. Hershkovitz, with the assistance of R. Lavi, M. Goder, D. Igorov, G. Herzlinger and R. Ben Lulu (area supervision), D. Vaknin (administration), V. Essman and Y. Shmidov (surveying and drafting), B. Langford, M. Ulman and U. Davidovich (mapping), H. Ashkenazi and N. Schneller Pels (laboratory), L. Barda (map) and C. Amit (photographs) and students and volunteers from the universities of Tel Aviv, Haifa, Ben-Gurion and Bar-Ilan, the Hebrew University of Jerusalem and Case Western Reserve University of Cleveland, Ohio. Research partners included A. Ayalon, M. Bar-Matthews, A. Matthews and G. Yas'ur (Geological Survey of Israel), G. Bar-Oz, R. Yeshurun and N. Schneller Pels (Zinman Institute of Archaeology, University of Haifa), E. Boaretto and V. Caracuta (D-REAMS Radiocarbon Laboratory, Weizmann - Max Planck Center for Integrative Archeology, Weizmann Institute of Science), B. Alex (Harvard University), S. Weiner (Kimmel Center for Archaeological Sciences, Weizmann Institute of Science), F. Berna (Simon Fraser University, Vancouver, Canada), A. Frumkin (Department of Geography, Hebrew University), D. Bar-Yosef (Tel Aviv University), U. Weiss (Department of Land of Israel Studies and Archaeology, Bar-Ilan University) and B. Latimer (Case Western Reserve University). We extend our thanks to Y. Ya'aqobi, Y. Lerer, E. Stern and D. Barshad (the IAA Northern Region Office) for their support during the excavation seasons, to the Jewish National Fund for financing the opening of an operative entrance into the cave and to S. Dora and O. Boneh of that organization for undertaking that project.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".