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Record W3119818125 · doi:10.4236/ce.2021.121006

School-Immigrant Family-Community Collaboration Practices for Youth Integration

2021· article· en· W3119818125 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCreative Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsImmigrationGovernment (linguistics)Thematic analysisDiversity (politics)Context (archaeology)PerceptionSociologyPublic relationsPolitical sciencePedagogyQualitative researchPsychologySocial scienceGeography

Abstract

fetched live from OpenAlex

We examined “school-family-community” collaboration in a context of ethnocultural diversity to identify and analyze collaborative practices involving immigrant families. Interviews were conducted in Québec with 11 education stakeholders, 10 community representatives, and 7 members of immigrant-origin families. Our conceptual framework was inspired by Bronfenbrenner’s ecosystems model (1979) and Epstein’s overlapping influence approach (2001). Thematic analysis brought forth two dimensions favoring collaboration: leadership and the child’s perception of the integration process. Our results nevertheless show that school-immigrant family-community collaboration remains hindered by the trust issues and reluctance of certain partners, thus calling for additional resources and investments by every level concerned, particularly government decision makers.

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.

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)0.008
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 score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.150
GPT teacher head0.449
Teacher spread0.299 · 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