Calling for Compliance. Transnational Advocacy Networks in the Mediterranean Sea. A Case Study on Norm Compliance at Europe’s Liquid Borders
Bibliographic record
Abstract
The paper observes compliance theories on transnational advocacy networks in the Mediterranean Sea; a multinational border region being widely considered as the “deadliest border” in the world. This situation has led to a measurable “rush to the sea” of organisations which belong to Transnational Advocacy Networks (TAN) or define themselves as “humanitarians”. Part of today’s theory on the impact of transnational advocacy networks is that consistent and continuous engagement of TAN leads to increased norm commitment and even norm compliance in states with strong institutions. However, after the implementation of a system of bilateral treaties (2017 Italy - Libya, 2016 Turkey and European Union (EU)) 1 by the EU, the number of travellers reaching EU soil has significantly decreased. Additionally, changing political circumstances in Libya and internal policies of EU member states have contributed to lowering the number of arrivals.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".