The Roman circus and southwestern city quarter of Carthage: first results of a new international research project
Bibliographic record
Abstract
Abstract The paper presents first results of a joint German–Tunisian research project in Carthage, Tunisia. Archaeological fieldwork has been undertaken (preceded by a geophysical survey) in the southwestern quarter of the ancient city to study the architecture, chronology and urban context of the circus. The area has, unlike the rest of Carthage, not been targeted by excavations of the late nineteenth/early twentieth centuries and, also unlike the rest of Carthage, is mostly not overbuilt, although under pressure from neighbouring communities. The area is the last one allowing a large-scale diachronic urban study in which the circus and its impact on the quarter is in the centre. From our first results, we can date the beginning of the construction of the circus to the late first century AD, with interventions in the early third century and usage continuing into the sixth. We were able to define the extension of the northern cavea and to study the western part of the spina and identify the meta at this point. Information has been obtained on early Roman, pre-circus use of the area as well as data on the Punic phases. Sixth- and seventh-century levels are also well preserved.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".