Cross-Border Cooperation and Land-Use: Studying Two European Cities in the Period 2000–2018
Bibliographic record
Abstract
Cross-Border Cooperation (CBC) denotes the joint effort and harmonization of endeavors between neighboring countries or geographically connected regions. It encompasses collaborative initiatives spanning economic, political, social, and environmental domains. Land Use (LU) dynamics are one of the main topics in the interests of sustainable development studies, particularly in the territories facing high socioeconomic and environmental concerns and challenges. Therefore, we used a four-stage methodology: data collection; case study selection criteria; analysis of case studies; and, finally, the relation between CBC and LU for sustainable development. The study provides us with some exciting guidelines about actions to promote sustainable development through CBC (in the case studies) – i.e. promote knowledge sharing and best practices among successful cities; Offer capacity-building programs to enhance skills in sustainable land use planning and CBC; or foster collaboration on common projects and create communication networks for regular interaction.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 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".