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Record W1483867283 · doi:10.25071/1920-7336.21384

More than a “Good Back”: Looking for Integration in Refugee Resettlement

2007· article· en· W1483867283 on OpenAlexafffundvenue
Nicole Ives

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2007
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcGill University
FundersMcGill UniversityUniversity of PennsylvaniaAmerican-Scandinavian Foundation
KeywordsRefugeeBosnianFaithInclusion (mineral)Displaced personPolitical scienceGender studiesSociologyLawLinguistics

Abstract

fetched live from OpenAlex

This paper describes the experiences of twenty-four Bosnian refugees resettled in the US and explores how achieving integration relates to the US policy contexts and programs. Juxtaposing refugee perspectives and policies, “lived experience” was compared with policies on paper. Central themes included participants’ language and employment struggles, social support networks that included Americans, congregational sponsorship, and participants’ faith in their belief that they could fully belong in American society. Implications included a reevaluation of American resettlement policy regarding language and employment, formal support for sponsorship, and an inclusion of refugee voices in planning and implementing resettlement programs.

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)0.006
metaresearch head score (Gemma)0.007
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 score0.993
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0210.015
Scholarly communication0.0090.008
Open science0.0010.016
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.000

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 head0.345
Teacher spread0.322 · 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

Citations56
Published2007
Admission routes3
Has abstractyes

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