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Record W2917530069 · doi:10.20355/jcie29354

“I’m Thinking I Want to Live a Better Life”: Syrian Refugee Student Adjustment in New Brunswick

2019· article· en· W2917530069 on OpenAlexafffundvenueabout
Helen Massfeller, Lyle Hamm

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsUniversity of New Brunswick
FundersHarrison McCain Foundation
KeywordsRefugeeSyrian refugeesField (mathematics)Gender studiesSociologyPolitical sciencePsychologyPedagogyLaw

Abstract

fetched live from OpenAlex

In this paper, the authors explore the re-adjustment experiences of seven refugee students from Syria and Iraq who enrolled in a large high school in New Brunswick. Data were collected through semi-structured interviews, school and community documents, and field notes. Five themes were identified and are reported and discussed in this paper. Recommendations for future direction regarding how to successfully integrate Syrian refugee children into Canadian schools are provided.

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 score0.420
Threshold uncertainty score0.845

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0210.009
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.364
Teacher spread0.346 · 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

Citations11
Published2019
Admission routes4
Has abstractyes

Explore more

Same venueJournal of Contemporary Issues in EducationSame topicEducation and experiences of immigrants and refugeesFrench-language works237,207