Knidian “Anyports”: a model of coastal adaptation and socioeconomic connectivity from southwest Turkey
Bibliographic record
Abstract
Recent archaeological studies reveal a growing interest in the relationship between local coastal dynamics and broader currents of Mediterranean seaborne connectivity. Using as a case study the complex harbour site of Burgaz and its maritime landscape of the Datça peninsula in southwest Turkey, this paper considers trajectories of port development in communities that are pre-modern and pre-industrial but increasingly interconnected and interdependent. While the peninsula’s fertile low-lying farmlands made Archaic and early Classical Burgaz an economic backbone and centre of regional exchange in the southeast Aegean, the growth of eastern Mediterranean networks of the late Classical and Hellenistic era eventually favoured Knidos as the better situated hub for maritime activity. Building on the influential “Anyport Model” by geographer James Bird (1963, 1971), this article explores patterns of coastal development at Burgaz as a reflection of local responses to intersecting political, economic and environmental factors. By contextualizing the long-term evolution of one dynamic landscape, the model aims to shed light on how ancient Mediterranean port communities negotiated a constantly shifting place within complex and evolving maritime networks.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".