Ceramic Finds in Context (Roman to Early Islamic Times) - Dataset
Bibliographic record
Abstract
Between 2011 and 2016 field excavations and surveys in the frame of the Danish-German Jerash Northwest Quarter Project have brought to light a wealth of material and results presented in numerous publications, many of these in the same series as this volume. The quality of the data collected seems most promising with regard to an innovative evaluation and classification of the material. Many of the structures excavated, of which some were built in Roman times, were subsequently successively extended over decades and rebuilt until their destruction by a violent earthquake in 749 CE. This incident left large areas covered in debris preserving the contexts mostly undisturbed. This volume provides an in-depth analyses on the ceramic material found at the Northwest Quarter, which is typo-chronological evaluated and contextually analysed. Based on this dataset the authors provides insight into the micro and macro networks of ancient Gerasa in Roman to Early Islamic times and focusses on the question how finely meshed exchange can be pursued on a micro-regional level and what conditions must exist in order to trade.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.024 |
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".