Ḥuqoq – 2017
Bibliographic record
Abstract
In June 2017, the seventh season of excavations was conducted at Ḥorbat Ḥuqoq (License No. G-24/2017; map ref. 24500–50/75430–65; Magness at al. 2017). The excavation was undertaken and underwritten by the University of North Carolina at Chapel Hill, Baylor University (Texas), Brigham Young University (Utah) and the University of Toronto (Canada). Additional funding was provided by the National Geographic Society, the Loeb Classical Library Foundation, the International Catacomb Society, the Foundation for Biblical Archaeology (S. Bishop) and private donors. The excavation was directed by J. Magness, with the assistance of S. Kisilevitz (assistant director), M. Golan (administration), M. Grey and D. Mizzi (area supervision), J. Haberman (field photography), M. Robinson-Mohr (registration), D. Schindler (ceramics), K. Britt (mosaics), M. Wells (architecture), S. O’Connell (painted plaster), E. Hubbard (geoarchaeology and micromorphology), R. Mohr (drawing), V. Pirsky (drafting), O. Cohen (site and small finds conservation) and Griffin Aerial Imaging (aerial photography). The volunteers were undergraduate and graduate students from the USA, Canada and Slovakia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".