Mediterranean Islands, Fragile Communities and Persistent Landscapes
Bibliographic record
Abstract
Mediterranean landscape ecology, island cultures and long-term human history have all emerged as major research agendas over the past half-century, engaging large swathes of the social and natural sciences. This book brings these traditions together in considering Antikythera, a tiny island perched on the edge of the Aegean and Ionian seas, over the full course of its human history. Small islands are particularly interesting because their human, plant and animal populations often experience abrupt demographic changes, including periods of near-complete abandonment and recolonization, and Antikythera proves to be one of the best-documented examples of these shifts over time. Small islands also play eccentric but revealing roles in wider social, economic and political networks, serving as places for refugees, hunters, modern eco-tourists, political exiles, hermits and pirates. Antikythera is a rare case of an island that has been investigated in its entirety from several systematic fieldwork and disciplinary perspectives, not least of which is an intensive archaeological survey. The authors use the resulting evidence to offer a unique vantage on settlement and land use histories.
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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 | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".