MétaCan
Menu
Back to cohort
Record W4394573547 · doi:10.26689/jcer.v8i3.6449

Relations Between School and Immigrant Families in Albertan Francophone School: Perspectives of Settlement Workers in Schools — A Secondary Publication

2024· article· en· W4394573547 on OpenAlexaffabout
Marianne Jacquet, Gwenaëlle André

Bibliographic record

VenueJournal of Contemporary Educational Research · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsRoyal Military College Saint-JeanSimon Fraser UniversityUniversity of Alberta
Fundersnot available
KeywordsImmigrationSettlement (finance)SociologyFrenchPedagogyGender studiesPolitical scienceGeographyLawBusinessArchaeology

Abstract

fetched live from OpenAlex

In recent years, Francophone schools in Alberta, a province in western Canada, have seen significant ethnocultural diversification of their school population, thus reflecting recent migratory changes in Canada. The population of a Francophone school board located in an agglomeration of Alberta reflects these new migratory trends. A partial ethnodemographic portrait carried out in 2003 in six of its schools indicates that 50% of the pupils come from an immigrant background and come from 23 different countries; mostly from sub-Saharan African countries. This demographic reality, confirmed more than a decade later, represents a major structural change for Francophone schools. In Alberta, as in other Canadian provinces, inclusion is at the heart of discourse and educational practices. With a transformative aim, it intends to promote ethnocultural diversity in the classroom and equal opportunities through school equity practices. This article focuses on the settlement workers in schools responsible for bridging family, community, and school cultures. The analysis of the interviews of the four workers sheds light on and questions both the institutional practices and the personal strategies put in place to face the challenges encountered in this tripartite collaboration.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.364
Teacher spread0.319 · 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 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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Contemporary Educational ResearchSame topicCanadian Identity and HistoryFrench-language works237,207