Les arrière-pays des cités phéniciennes à l'époque héllénistique, IVe siècle - IIe siècle ap. J.-C : approches historiques et spatiales d'une aire géoculturelle
Bibliographic record
Abstract
This study of the spatial organization of the Phoenician cities and the link they maintained with their hinterlands between the reign of Darius III (336-330 BC) and the arrival of Pompey in the East (66 BC) is based on an archeological corpus of fifty-three archeological sites identified in Lebanon, Syria and Israel. The development of Phoenician studies from the 19th century onward favoured approaches focusing on the link between the Phoenicians and the Mediterranean Sea. Today, an increasing number of studies are reconsidering the link between the ancient societies and their territories in the light of spatial analysis. Such an approach is used here to study the Phoenician cities and their hinterlands. The links between the fifty-three sites of the corpus are modeled by spatial interaction networks and hierarchical networks and compared with the Hellenistic historical context. This context is studied on a regional and local scale and explains the general geopolitics of Phoenicia at this time. It is also a source of data used in the network models. The cross referencing of historical data and network models offers a dynamic view of the Phoenician hinterlands mostly centered on the political functioning and the commercial and religious activities of the cities
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".