Ḥuqoq – 2022
Bibliographic record
Abstract
In May–July 2022, the tenth season of excavations was conducted at H orbat H uqoq (henceforth H uqoq) in Eastern Galilee (License No. G-4/2022; map ref. 245000–500/754300–650; Magness 2012 ; Magness et al. 2013 ; Magness et al. 2014 ; Magness et al. 2016a ; Magness et al. 2016 b ; Magness et al. 2017 ; Magness et al. 2018 ; Magness et al. 2019 ; Magness et al. 2020 ). The excavation was undertaken and underwritten by the University of North Carolina at Chapel Hill, Austin College (Texas), Baylor University (Texas), Brigham Young University (Utah) and the University of Toronto (Canada). Additional funding was provided by the Loeb Classical Library Foundation, the National Geographic Society, the Kenan Charitable Trust, the Carolina Center for Jewish Studies and private donors. The excavation was directed by J. Magness, with D. Mizzi (assistant director), M. Golan (administration), J. Burney, M. Grey, and R. Cline (area supervision), J. Haberman (field photography), Griffin Higher Photography (aerial photography), M. Robinson-Mohr (registration), D. Schindler (ceramics), K. Britt and R. Boustan (mosaics), M. Wells (architecture), S. O’Connell (painted plaster), R. Mohr (drawing), S. Pirsky (drafting), R. Lowinger and L. Roundhill (site conservation) and M. Lavie (small finds conservation). The volunteers consisted of undergraduate and graduate students from the U.S.A., Canada and Germany.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.006 |
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; both teacher heads agree on what is shown here.
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".