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Record W4312116480 · doi:10.18192/olbij.v12i1.6061

Meeting invisibilized needs: Youth refugees’ language and literacy development at the tertiary level in Canada

2022· article· en· W4312116480 on OpenAlexaffvenueabout
Shelley K. Taylor, Kate Paterson, Yasmeen Hakooz

Bibliographic record

VenueOLBI Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsWestern University
Fundersnot available
KeywordsRefugeeSocioemotional selectivity theoryLiteracyEmic and eticPedagogyInformation literacyPolitical sciencePsychologySociologyPublic relationsMedical educationMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

Currently, there is a knowledge gap vis-à-vis the educational needs and trajectories of youth refugee students at the tertiary level. Once admitted as domestic students, they are indistinguishable from other domestic students, invisibilizing them as a group, which impedes identifying their specific language, literacy, and socioemotional needs. Their indiscernibility as a group leads to a knowledge gap and absence of supportive policies. The purpose of this qualitative research study is to shine a spotlight on both these students’ language and literacy needs, and their educators’ professional development needs. Educators and key stakeholders in three institutions were surveyed and interviewed online to elicit their views and emic perspectives on key issues and challenges involved in youth refugees’ language and literacy learning, related policies and services, and their own professional learning needs. These results are first steps towards filling the gap in the literature, informing policy, and supporting educators and youth refugees.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.297
Teacher spread0.279 · 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.

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

Citations0
Published2022
Admission routes3
Has abstractyes

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