THE USE OF COINAGE FOR LARGE PAYMENTS AT ROMAN SAGALASSOS (SW ANATOLIA). COMBINING EVIDENCE FROM HISTORICAL SOURCES, COIN FINDS AND REGIONAL HOARDS
Bibliographic record
Abstract
This paper wishes to analyse the use of high-value coinage for large payments at Sagalassos during the Roman imperial and late Roman period. To start, two case-studies on possible contexts in which large payments could have taken place, i.e. taxation and public expenses, will be presented for Roman Asia Minor and the region of Sagalassos in particular. Afterwards, the article will focus on the concrete evidence that exists for large transactions and/or the use of high-value coinage, from both historical sources, coin finds from the excavations, and regional hoard evidence. These different material categories will afterwards be combined to analyse the role coinage might have played when large sums had to be paid by the citizens, elite or civic government at Sagalassos.
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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 | 0.001 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; a candidate call from one teacher head, 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".