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Record W4413215167 · doi:10.1080/08865655.2025.2539966

The Italian Quarantine Ship (Dystopia): Externalization Practices during COVID-19

2025· article· en· W4413215167 on OpenAlexvenueno aff
Elena Giacomell, Sarah Walker

Bibliographic record

VenueJournal of Borderlands Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsExternalizationCoronavirus disease 2019 (COVID-19)QuarantineDystopia2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicPolitical scienceHistoryVirologyMedicineOutbreakPsychologyLawPsychoanalysis

Abstract

fetched live from OpenAlex

This paper examines the use of quarantine ships in Italy during the COVID-19 pandemic as a mechanism of border externalization and racialized containment. Drawing on ethnographic research conducted aboard two quarantine ships, it explores how these vessels, ostensibly established for health surveillance, functioned as securitized spaces that perpetuated inequalities and restricted access to asylum. The study situates quarantine ships within broader practices of European border control, highlighting their role in governing mobility through viapolitics and racialized bio-political techniques. By tracing the historical and political dimensions of quarantine and migration, the paper argues that these ships reflect long-standing practices of controlling disease and mobility as threats to the nation-state. Despite their disbandment in 2022, the legacy of quarantine ships underscores the enduring racialized violence embedded in European migration policies. This research contributes to critical discussions on border externalization, racial capitalism, and the Mediterranean as a contested space of mobility and exclusion.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.591
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.048
GPT teacher head0.398
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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