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Record W4408698198 · doi:10.1080/01419870.2025.2474612

Being “resettlement-minded”: intersectional dimensions of refugee resettlement strategies and refusals in Jordan

2025· article· en· W4408698198 on OpenAlex
Sarah Nandi, Oroub El Abed, Megan Bradley, Hamzah Qardan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEthnic and Racial Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRefugeeGender studiesIntersectionalitySociologyPolitical scienceEthnic groupCriminologyAnthropologyLaw

Abstract

fetched live from OpenAlex

This article analyses how gender, race, nationality, and related axes of power influence the way different groups approach resettlement as an institution, and the strategies employed to navigate it. Drawing on interviews and focus groups with Somali, Sudanese, Syrian, and Iraqi refugees in Jordan, as well as interviews with UN and NGO officials, we examine two dimensions of how “resettlement-minded” refugees enact agency in the resettlement process. First, we examine how some Somali and Sudanese women participants utilize NGO vocational and educational programs to position themselves as deserving and desirable candidates. Second, we explore how some Syrian and Iraqi women assert their political, linguistic, and familial identities by refusing resettlement. We argue that resettlement is not a “one-size-fits-all” solution that is passively done to refugees; rather, it is actively sought by some while rejected by others, through strategies reflecting complex identities and power structures.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.044
GPT teacher head0.400
Teacher spread0.356 · 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