The 2019 Bays of East Attica Regional Survey (BEARS) Project: New Archaeological Evidence for the History of Coastal Settlement, Economy, and Connectivity from Porto Rafti (Greece)
Bibliographic record
Abstract
This paper presents the findings of the inaugural season of the Bays of East Attica Regional Survey project (BEARS). The project aims to clarify the history of human activity around the bay of Porto Rafti in eastern Attica. Surface finds from Raftis Island demonstrate that it was the location of a major Late Helladic IIIC site probably linked to the cemetery at Perati, as well as of limited Late Roman occupation. The Pounta peninsula yielded a large quantity of obsidian lithics, indicating significant activity during the Final Neolithic/Early Bronze Age, with lesser quantities of material dated to the Late Helladic IIIC and Roman/Byzantine periods. At Koroni, surface finds of Late Helladic IIIC and Archaic/Classical date indicate that activity at the site predates the third-century Ptolemaic military camp excavated by American archaeologists in 1960. Overall, these survey data provide a range of new evidence and insight into the history of the Porto Rafti area and its connections to other regions of the Aegean. Methodologically, the project’s work also demonstrates the value of conducting archaeological surface survey even in areas with extensive modern development.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".