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Record W2567021087 · doi:10.5206/cie-eci.v45i3.9300

Somali Refugee Students in Canadian Schools: Pre-Migration Experiences and Challenges in Refugee Camps

2016· article· en· W2567021087 on OpenAlexaffvenueabout
Mohamad Ayoub, George Zhou

Bibliographic record

VenueComparative and International Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSomaliRefugeeQualitative researchPolitical scienceSociologyMedical educationPedagogyMedicineSocial science

Abstract

fetched live from OpenAlex

The purpose of this paper is to shed light on the pre-migration challenges experienced by Somali refugee students in refugee camp before resettling in Canada. The findings were drawn from a qualitative research that was designed to investigate the pre-migration and post-migration experiences of Somali refugee students attending English public schools in a southwestern city in Ontario, Canada. The method of data collection in the study was semi-structured one-on-one interviews. A total of six Somali refugee students were interviewed. The exploration into the participants’ experiences revealed that they faced many pre-migration challenges in refugee camps. Members of the school community, including educators, administrators, and students, have a major role to play in supporting Somali newcomers with their integration.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.080
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0340.009
Scholarly communication0.0070.002
Open science0.0020.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.090
GPT teacher head0.429
Teacher spread0.339 · 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

Citations16
Published2016
Admission routes3
Has abstractyes

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