Paradiplomacy of Jersey: Opportunities and challenges in the post-Brexit era
Bibliographic record
Abstract
This paper explores challenges that Jersey faces in the post-Brexit era, and how Jersey can utilize paradiplomacy to overcome obstacles and broaden opportunities. Due to its constitutional status, preexisting international arrangements, and turbulences resulting from Brexit, the Bailiwick of Jersey is in a complicated context. Since May 2021, fishing conflicts have erupted off the coast of Jersey after the Jersey government adopted a post-Brexit fishing licensing scheme that requires French fishing boats to provide data showing they have a history of fishing in Jersey’s waters. On the other hand, Jersey’s export industry is stuck due to the island no longer benefiting from the free movement of goods after Brexit. In future negotiations, Jersey can use paradiplomacy to resolve post-Brexit difficulties. Jersey’s interests will be best served by actively pursuing paradiplomacy with the EU and its members in order to achieve more beneficial trade and fishing arrangements for both parties. Jersey’s paradiplomacy is not synonymous with protodiplomacy. It would be preferable for Jersey to remain under the sovereignty of the UK to maintain the substantial economic advantages and preferential treatment granted by the metropolitan territory.
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 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 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".