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Record W2463797147 · doi:10.1080/13621025.2016.1182682

Dying to live: migrant deaths and citizenship politics along European borders: transgressions, disruptions, and mobilizations

2016· article· en· W2463797147 on OpenAlexaff
Kim Rygiel

Bibliographic record

VenueCitizenship Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsBalsillie School of International AffairsWilfrid Laurier University
FundersKasetsart University Research and Development Institute
KeywordsCitizenshipRefugeeSolidarityBiopowerPoliticsPolitical scienceGender studiesState (computer science)SociologyPolitical economyLaw

Abstract

fetched live from OpenAlex

Migrants and refugees continue to die as they attempt to cross into Europe. This article explores the issue of ‘dying to live’ to draw attention to the disturbing fact of these deaths in relation to the state, biopolitics, and citizenship, but also to the growing mobilization around refugee and migrant deaths along European borders. The article examines transnational activism in solidarity with migrants, refugees and their families in response to deaths at Europe’s borders as one example of the many political struggles for greater rights undertaken by refugees, migrants, and solidarity activists emerging across Europe and elsewhere. An examination of struggles around rights of the dead and in response to migrant and refugee deaths suggests that they can be transgressive of the logic of modern citizenship.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.028
Scholarly communication0.0100.009
Open science0.0010.013
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.058
GPT teacher head0.361
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations98
Published2016
Admission routes1
Has abstractyes

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