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Record W1979045139 · doi:10.1080/17450120903440399

Educational experiences and achievements of war-zone immigrant students in Canada

2010· article· en· W1979045139 on OpenAlexaffabout
Lana Stermac, Susan Elgie, Hester Dunlap, Theresa C. Kelly

Bibliographic record

VenueVulnerable Children and Youth Studies · 2010
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsImmigrationUnrestAffect (linguistics)Academic achievementPsychologyPerceptionWorld War IIMathematics educationPolitical sciencePolitics

Abstract

fetched live from OpenAlex

This study examined the educational experiences and achievements of immigrant students who entered the Canadian educational system from global war-zone (WZ) countries or regions experiencing extreme conditions of civil unrest and destabilization. As exposure to traumatic experience of various types is known to affect the well‐being of individuals, questions about the potential learning challenges that exposure to the traumatic events of war posed to students provided some of the impetus for this study. The research compared backgrounds, academic achievements, school experiences and self-perceptions among three groups of high school students: 245 students from WZ regions around the world, 272 non-war-zone immigrant students from other global regions and 276 Canadian-born (CB) students. Indices of academic performance, participation, engagement and self-rated competencies were obtained from a Statistics Canada database of 15-year-olds. The overall results of this study revealed that adolescent immigrant students from WZ areas around the world were participating successfully in the Canadian educational system. The findings indicated that WZ students were performing as well as other immigrant and CB students on many indices of scholastic achievement, and in some areas were surpassing them. As well, the results revealed that immigrant students in general and WZ immigrant students in particular were connected to and engaged with their school environment and their learning. A number of limitations of the study are discussed.

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 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)0.000
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 score0.081
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.313
Teacher spread0.297 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations24
Published2010
Admission routes2
Has abstractyes

Explore more

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