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Institutionalized Inclusion: A Case Study on Support for Immigrants in English Learning

2009· article· en· W1577846114 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

VenueTESOL Quarterly · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSociologyConceptualizationInclusion (mineral)ImmigrationSettlement (finance)CitizenshipMediationMulticulturalismIdeologyPedagogyGender studiesLinguisticsSocial sciencePolitical science

Abstract

fetched live from OpenAlex

Based on a three‐year ethnography, this article illuminates how institutions and individuals can support immigrants' language learning and settlement in today's globalized, multicultural societies. It focuses on how a Mandarin—English bilingual Chinese church's practices fostered a young couple's English learning and social economic inclusion into the evangelical Christian Chinese community in Canada. Drawing on the conceptualization of learning as legitimate peripheral participation (Lave & Wenger, 1991), concretized by concepts of region and stage (Goffman, 1959) and social capital (Bourdieu, 1977, 1986), I illustrate the multiple effects of this couple's increased participation in their church community. I then analyze how institutionalized, multiple forms of mediation (Vygotsky, 1978) opened up spaces for and assisted their increased participation. I argue that allowing ethnolinguistic minority immigrants a legitimate speaking position, at interpersonal, institutional, and ideological levels, facilitates immigrant language learning and integration.

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)0.000
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 score0.251
Threshold uncertainty score0.997

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 studies0.0010.000
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 head0.061
GPT teacher head0.457
Teacher spread0.396 · 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