Bibliographic record
Abstract
In southern Italy, with particular reference to the upper Bradano river valley in ancient Eastern Lucania, agglomerated rural settlements are generally studied as part of the later third and fourth centuries AD when they become the protagonists in the late antique landscape in southern Italy. The late antique landscape, however, is usually considered to be an inorganic and discontinuous settlement manifestation. Yet, in many areas of southern Italy the growth and importance of agglomerated rural settlements in the Roman landscape predates the later third century. In the upper Bradano river valley, independent vici become important elements of the rural Roman landscape as early the second century AD , when some vici develop a specific productive function while others remain primarily residential. The growth in vici in the upper Bradano valley is clearly tied to architectural monumentalization and increased agricultural production at the excavated villa sites. The combination of these factors in the second century suggests a land concentration and intensification of production on villa sites and the presence of a substantial lower class living in vici . En Italie du Sud, et particulièrement dans la haute vallée du Bradano, en ancienne Lucanie orientale, les agglomérations rurales sont généralement étudiées comme un phénomène de la fin du III e siècle et du IV e siècle après J. C., alors qu'elles deviennent des protagonistes dans le paysage de l'Antiquité tardive en Italie du Sud. Le paysage de l'Antiquité tardive est pourtant habituellement considéré comme le produit d'un peuplement inorganique et discontinu. Toutefois, dans plusieurs régions de l'Italie du Sud, la croissance et l'importance des agglomérations rurales dans le paysage romain précède la fin du III e siècle. Dans la haute vallée du Bradano, les vici indépendants deviennent un élément important du paysage rural romain dès le II e siècle, lorsque certains vici développent une fonction productive spécifique, tandis que les autres demeurent principalement résidentiels. L'accroissement des vici dans la haute vallée du Bradano est clairement lié à la monumentalisation de l'architecture et à l'augmentation de la production agricole sur les sites des villas fouillées. La combinaison de ces facteurs au II e siècle suggère une concentration foncière et une intensification de la production sur le site des villas, ainsi que la présence substantielle dans les vici d'une population issue des basses classes.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".