Trade contestation and regional politics: The case of Belgium and Germany
Bibliographic record
Abstract
In developing an extensive network of trade agreements, the European Union has pushed for liberalization commitments that impinge on the competencies of subnational jurisdictions. This raises new challenges in federal systems as the emerging multilevel character of trade politics means subnational authorities could increasingly demand a say in the negotiation or ratification of these trade agreements. To address the tension between subnational regulatory autonomy and collective problem-solving in trade negotiations, Europe needs to avoid suboptimal trade outcomes where actions of contestation by subnational jurisdictions on the grounds of regulatory encroachment can undermine or veto collective agreement. Using the cases of Belgium and Germany, this article illustrates how the growing subnational contestation around trade agreements requires greater coordination and consensus to avoid domestic gridlock in their ratification. The article suggests normative ideas for the EU to address the overlapping authority challenges across multilevel governance. As the values of trade have changed, these normative measures should include the framing of trade narratives, addressing asymmetries of influence, enhancing subnational engagement, and mitigating the distributive costs of liberalization. These avenues for trade policymaking are to be ultimately advantageous for the EU's pursuit of greater integration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".