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Record W4406146766 · doi:10.1080/01419870.2024.2441912

Territorial claims, unclaimed people: the postcolonial geopolitics of statelessness in Sabah, Malaysia

2025· article· en· W4406146766 on OpenAlexaff
Amanda R. Cheong, Nur Cameliah binti Thomas, Mary Anne K. Baltazar

Bibliographic record

VenueEthnic and Racial Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of British Columbia
FundersNational University of Singapore
KeywordsStatelessnessGeopoliticsPolitical scienceGeographyGender studiesCitizenshipSociologyLawPolitics

Abstract

fetched live from OpenAlex

This article connects the contemporary phenomenon of statelessness among populations of Filipino descent in Sabah, Malaysia, to historical geopolitical contestations over territory, sovereignty, and nationhood in the region. Drawing on household interviews, ethnographic fieldwork, and years of civil society engagement, we argue that the possibility of citizenship pathways for these communities is conditioned by postcolonial geopolitical struggles over, more broadly, the very territorial constitution of the Malaysian and the Philippines nation-states. Inter-state diplomatic conflicts regarding sovereignty over Sabah materially trickle down through the everyday governmental practices of registration offices, consular bodies, and border security forces, producing: (1) nonviable, in a practical sense, citizenship pathways into the Philippines; and (2) legally absent citizenship pathways into Malaysia. In addition to providing an in-depth qualitative portrait of people’s lived experiences of statelessness, this article theoretically elucidates the constructivist affordances of the citizenship pathways framework.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.022
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.380
Teacher spread0.357 · 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

Citations7
Published2025
Admission routes1
Has abstractyes

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