Institutionalizing (cross-border) citizenship on subnational level – The European Grouping of Territorial Cooperation (EGTC) as new administrative space for participatory and functional governance in Europe
Bibliographic record
Abstract
Cross-border, transnational and interregional cooperation of subnational entities within the European Union have been strengthened politically, legally and financially by the EU and the Council of Europe. Nearly every border region in the EU participates in some form of cooperation structure across borders – mainly due to financial support by the EU joint initiative INTERREG. In general, these Europeanization effects of regional administrative integration have been described by scholars using neofunctionalist (multilevel governance) and intergovernmentalist approaches highlighting the cooperation rationale of cross-border actors.The aim of the research project is to go a step ahead following a conceptual shift towards a normative - participatory approach of (cross-border) regional integration. On the basis of the EU legal instrument European Grouping of territorial cooperation (EGTC), processes of re-scaling, re-territorialization and paradiplomacy in a “Europe of the territories” will be analyzed with regard to inclusiveness and modes of subnational participatory governance.In general, policy-making and strategic development of the EU regional policy, particularly the European Territorial Cooperation (ETC) are products of a successive bargaining and functional technocratic regulation between the administrative elites within the EU multilevel (supranational, national, subnational) polity excluding the local community. The aim of the research project is thus to elaborate forms and channels of transborder participatory governance in EU transnational spaces and to examine pre-conditions for the establishment of an increased inclusion of a cross-border citizenship. Moreover, it focuses on the problems and obstacles of the institutionalization of deliberative and participatory mechanisms of a subnational citizenship in a postnational multilevel arena. Finally, the research - that is based on a case study of the EGTC Galicia-Norte de Portugal - analyzes to what extent the EGTC foster both the consolidation of cross-border cooperation and institutionalization of transnational participation on a subnational level.
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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 | 0.012 | 0.006 |
| 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 | 0.018 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".