Search and Rescue as an Instrument of Externalisation: A Report from the Central Mediterranean Sea, 2013 to 2017
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The European Union (EU) implemented a maritime interdiction network using search and rescue which interdicted at least 462,813 “illegal migrants” in the Central Mediterranean Sea between 2006 and 2015. This involved 15 discrete, militarised and semi-secret maritime interdiction operations (MIOs) at a minimum cost of 126.9 million 2014 Euros. In this dissertation, I will explore and map these operations and their geographies between 2006 and 2015. First, and based on the given existence of the European Patrols Network, I examine how this network came into being in the first place. This serves to show that the EU purposely created regular maritime interdiction operations using search and rescue to interdict migrants by 2006. This approach also justifies and underpins my subsequent analyses of their histories, functions and outcomes, all of which depend on the network having two specific properties. First: that the EPN was a system intentionally designed to internalise migrants and boa...
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.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it