Half Empty or Half Full? Over 30 Years of Regional Cross-Border Cooperation Within the EU: Experiences at the Dutch–German and Danish–German Border
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines four cross-border regions across the Dutch–German and Danish–German border, which now have experience of over 30 years' more or less institutionalized cross-border cooperation: the Euregio Rhein–Ems–IJssel (often referred to as EUREGIO), the Ems–Dollart Region, Region Sønderjylland-Schleswig, and Fehmarn Belt Region. The focus is on evaluating barriers against and incentives for cross-border activities in connection with cross-border regional governance. While cross-border cooperation in the form of euroregions today is a common sight on virtually all European borders, research still has limited knowledge on mechanisms involved with cross-border region-building as well as on opportunities for successful cross-border cooperation. The article reveals that the four regions examined, though very different in socio-economic characteristics, cooperation history, and extent, face comparable issues and problems in cross-border cooperation. It shows that the “difference of attractiveness” of each side of the border is a decisive impetus to engage in cross-border activities, providing that “information” on the conditions for cooperation as a decisive variable is available or can be made available through third-party funding such as the Interreg Community Initiative. A lack of “difference of attractiveness” requires third-party funding for sustainable cross-border activities. The euroregions' and their institutions' role is predominantly the role of a cross-border information center, network organizer, and support organization, while their actual governance of self-sustainable cross-border activities remains low.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it