Migration, Borders and “De-bordering” in Pandemic Times: Voices as Interlocution from Quarantine Ships in Italy
Bibliographic record
Abstract
The Covid-19 pandemic has deeply affected the configuration of border regimes worldwide, resulting in further selective restrictions to individual cross border mobilities. The Mediterranean space, where sea-crossings have been a structural part of migration for over two decades, has been targeted by multidimensional and transversal re-bordering policies: from externalization to search and rescue, from asylum to detention. The “unsafe harbour strategy” and the resulting implementation of offshore isolation, de facto detention, on quarantine ships were key components of these re-bordering policies. These strategies have prevented a number of potential refugees from accessing asylum, thereby reinforcing the so-called hotspot approach. Combining traditional qualitative research methods with digital ethnographic research on “quarantine ships” in Italy, this paper explores migrants' reactions and responses to border enforcement via offshore isolation. By focusing on the voices emerging from quarantine ships, and on the subsequent interlocution between different actors and stakeholders, we highlight the emergence of various forms, tools and strategies of debordering. These are the outcome of the ongoing interaction between confined migrants, civil society stakeholders and the “onshore” world. We eventually discuss the implications of these interlocutions for research on the interplay between bordering and de-bordering in migration management and control.
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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 | 0.002 | 0.001 |
| 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 | 0.000 | 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".