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Record W4404832667 · doi:10.3389/feduc.2024.1484999

“Be yourself, rediscover yourself, and find new aspects of yourself”: newcomer youth integration in a francophone school system

2024· article· en· W4404832667 on OpenAlexafffundabout
Tonje M. Molyneux, Anusha Kassan, Sophie V. Ty

Bibliographic record

VenueFrontiers in Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of TorontoUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFrenchPsychologySociologyComputer scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Negative school integration experiences can compromise the healthy development of newcomer youth. Little research has explored what affects their experiences; even less has engaged youth in the research process. This study investigated the school integration experiences of French-speaking newcomer youth in a predominantly anglophone Canadian province using the Arts-Based Engagement Ethnography research method. We explored: (1) How do newcomer youth experience a public francophone school? and (2) How do these experiences influence their positive integration into the francophone school system in a predominantly anglophone province? Data from artifacts, interviews, and planned group discussions were organized into four structures: (a) navigating school integration challenges, (b) negotiating identity, (c) confronting biases, and (d) helping other newcomer youth. Underlying patterns painted a rich portrait of newcomer youth school integration experiences, which informed their emerging identity. Findings point to needed changes to supports and services offered to newcomer youth integrating into the francophone school system in a predominantly anglophone province.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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 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
Published2024
Admission routes3
Has abstractyes

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