Paradiplomacy in Creating Regional Competitiveness: Case Study of Jember Regency
Bibliographic record
Abstract
This paper describes the paradiplomacy of the Jember Regency. This paper shows that the Jember Regency’s paradiplomacy through city diplomacy can act as an actor who can cooperate with countries such as Japan and Canada in various fields in order to be a safe and comfortable regency. In doing so, the local government seeks to create international connections through sister cities and smart cities. This effort is a strategy to enter the digital era, which demands more innovative and creative regions. Jember Regency uses a conservative type of paradiplomacy which in line with the Ministry of Foreign Affairs as the foreign relations coordinator. Thus, the relationship built is in the form of a joint coordinator formula and parallel harmony between the capital city and the local government. In addition, educational cooperation was conducted by the University of Jember as a form of soft power to introduce many foreigners’ artistic identity, values, and local culture.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".