Land Policy in Resilience Building: The Case of the Evros River Basin in Northern Greece
Bibliographic record
Abstract
Land policy as an all-encompassing socio-economic domain has experienced a long-standing evolutionary process operating either as a foundational component of spatial planning or as an inherent policy entity in developmental strategies. Either way has endowed the advancement of numerous policy tools of its own, like land administration-registration practices, land banks, land expropriation, land consolidation, pre-emption rights, air rights development transfer, development rights, taxation, re-parceling and land compensation mechanisms. At the same time, land policy has been a rather critical element in all phases of safety planning (emergency planning, recovery-reconstruction planning and disaster mitigation-prevention planning). This study elaborates on the issue of land policy as an eminent component interlinking spatial planning, safety planning and development policies. Further on it highlights the wide variety of land policy tools that allow dealing (proactively and reactively) with disaster management and promoting resilient territories. Set in this context, the aim of this article is to reveal the importance of land policy in flood protection, focusing on a distinct flood risk setting: the Evros River Basin in Northern Eastern Greece; and more specifically in the making of an integrated safety-resilience planning strategy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".