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Record W4413544955 · doi:10.1093/rsq/hdaf010

Asylum-Seeker Centres in the Netherlands’ Total Institution Characteristics and their Effect on Refugees’ Sense of Belonging

2025· article· en· W4413544955 on OpenAlex

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.

Bibliographic record

VenueRefugee Survey Quarterly · 2025
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsRefugeeInstitutionPolitical scienceCriminologySociologyLaw

Abstract

fetched live from OpenAlex

Abstract Based on in-depth qualitative interviews, we investigate how asylum-seekers in the Netherlands have experienced the shelters where they first arrived. We connect this experience to what Goffman calls “total institutions”: just like hospitals and prisons, residents are isolated, restricted, and supervised in the asylum shelters (AZCs). The results show that asylum-seekers feel marginalised, are often treated disrespectfully and with prejudice, and lose their sense of dignity in the overcrowded and isolated housing units. They experience the control element as most disturbing. We also ask about the long-term effect of this experience. Our interviews show that this first experience in the Netherlands causes problems later on in the integration journey. Refugees find it difficult to feel a sense of belonging in the Netherlands. We show how the initial reception in AZCs leads to a lack of belonging later, which can even translate to distrust of Dutch people in general.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.011
GPT teacher head0.301
Teacher spread0.290 · 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