Some New Epigraphy Material from the Hashemite Kingdom of the Jordan
Bibliographic record
Abstract
The aim of this research is to present a new collection of ANA inscriptions (Safaitic) discovered in 2017 in the Jordanian northeastern Badia in the area of Tall Al-Hafit. The research attempts to add a new meaning to the interpretation of the verb ʿwr in the Safaitic inscriptions. This research also introduces a new inscription bearing a reference to the town of Salkhad, which is located in southern Syria. This is the fifth inscription mentioning the name of this town. In addition, the research attempts to shed light on the importance of interpreting Safaitic inscriptions in relation to their geographical locations (the places where the inscriptions were discovered). This is because it is believed that these inscriptions and the meanings their authors wanted to convey can be better understood when interpreting these inscriptions in relation to their geographical contexts.
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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 | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".