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Record W4408618914 · doi:10.1080/13621025.2025.2475834

The problem with the Comoros solution: affect, citizenship, statelessness and the Kuwaiti Bidoon

2025· article· en· W4408618914 on OpenAlexaff
Fiorella Rabuffetti, Emily Regan Wills

Bibliographic record

VenueCitizenship Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsStatelessnessCitizenshipAffect (linguistics)Political scienceEthnologySociologyLawCommunication

Abstract

fetched live from OpenAlex

The Kuwaiti bidoon are a subset of the nomadic population of Kuwait who have been made stateless, classified as illegal residents and increasingly deprived of social rights through changing classifications by the Kuwaiti government. In 2014, the Kuwaiti government attempted to obtain citizenship in the African island nation of the Comoros for the bidoon, which would have provided them with a route to legal residency. But would this have provided a just resolution to the bidoon‘s situation? We argue that justice for the bidoon must not simply serve to resolve their de jure statelessness; it must, instead, attend to the injuries produced by this status, most importantly the harm caused by continuous rejection of their affective attachment to Kuwait. In dialogue with theories of access to citizenship and political identification with a state, we argue that under certain circumstances, providing citizenship can increase the harm experienced by stateless people, and that only providing recognition of their affective tie to a political community can resolve it.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.018
Scholarly communication0.0070.006
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.315
Teacher spread0.278 · 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 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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