Resilience of Cross-border Cooperation in the Neisse-Nisa-Nysa Euroregion after the Pandemic: Bouncing In-between
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
The article focuses on analyzing the impact of pandemic-induced border closures on cross-border integration within the Euroregion Neisse-Nisa-Nysa (ERN) encompassing parts of Germany, Czechia, and Poland.The restrictions on border crossings significantly disrupted the flow of people and goods across the ERN, affecting the daily lives of individuals residing on both sides (or all three sides) of the borders, particularly cross-border commuters.These individuals, referred to as borderlanders, found themselves disproportionately affected by the closures, with no representation to advocate for their interests.Consequently, the article highlights the key consequences of border closures and evaluates the initiatives undertaken by Euroregional stakeholders to enhance the resilience of cross-border cooperation within the ERN.In the concluding remarks, stakeholders involved in crossborder cooperation are urged to seize the opportunity and proactively advance their collaboration, as their interim unambiguous responses to the pandemic bounce in between advancing their cooperation and coming back to a pre-pandemic state.This can be achieved through the implementation of people-centric initiatives and a transition towards the European Grouping of Territorial Cooperation, facilitating a more effective and sustainable cross-border partnership.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it