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Record W4408398522 · doi:10.1080/01419870.2025.2474608

The “not yet” and “never” resettled: individual and communal waiting strategies among refugees in Kenyan camps

2025· article· en· W4408398522 on OpenAlex
Rachel McNally, Pascal Zigashane, Abdikadir Abikar, Arte Dagane, Mark Oyat Okello, Ochan Leomoi

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 institutionsResponse Biomedical (Canada)Carleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsKenyaRefugeeEthnologyPolitical scienceCriminologySociologySocioeconomicsGender studiesLaw

Abstract

fetched live from OpenAlex

For many refugees, going home is not possible because of continued instability and local integration is unavailable due to host country policies, so resettlement becomes the only possible “durable solution” to displacement. In Kenya, despite long-standing resettlement programmes, there remain over 588,000 refugees and asylum seekers living in the country. While most studies of resettlement focus on those who resettle, this paper sheds light on the perspectives of those who are still waiting in Kenyan camps for resettlement: those who have “not yet” and perhaps will “never” be resettled. Through focus groups and interviews with 75 refugees in the Dadaab refugee camps, Kakuma Refugee Camp, and Kalobeyei settlement, we find that camp residents experience waiting for resettlement individually and communally. Individually, camp residents assess options, place life plans on hold, and face the mental health consequences of prolonged uncertainty. Communally, camp residents interpret policy changes, share information, and exchange remittances.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.046
GPT teacher head0.400
Teacher spread0.354 · 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