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Record W4413829435 · doi:10.5040/9781350186545

Teachers as Mediators in Language Immersion Education

2025· book· en· W4413829435 on OpenAlexaboutno aff
Kelle L. Marshall, Wendy D. Bokhorst‐Heng

Bibliographic record

VenueBloomsbury Publishing Plc eBooks · 2025
Typebook
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsImmersion (mathematics)PsychologyPedagogyMathematics educationSociologyMathematics

Abstract

fetched live from OpenAlex

<JATS1:p>This book explores the role of teachers as intercultural mediators within language immersion education programs. The authors draw on research conducted in the context of a one-way French immersion program in New Brunswick, Canada, an officially bilingual province and country. Their discussion is anchored on the landmark Douglas Fir Group framework of second language acquisition, examining the implications of macro-level ideologies for language education, curriculum and intercultural instruction. The book considers educators’ placement within the framework and their potential role as intercultural mediators between macro-level ideologies, meso-level curricular implementation, and their students at the micro level. They even provide an amendment to the framework that models this mediating role.</JATS1:p> <JATS1:p>Through interview data with entry point early French immersion teachers and principals of their schools, the authors emphasise the importance of theoretically situating teachers’ positions as mediators of ideology and culture. Through this, we can fully understand what it means to incorporate intercultural competence into language learning. They argue that, teachers receive little support—either through curriculum or through training—on how to engage with (inter)cultural instruction in their practice. They then describe their own course for training pre- and in-service teachers on intercultural mediation in their language education practice, applicable to a variety of language learning models and contexts.</JATS1:p>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0030.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.235
Teacher spread0.224 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2025
Admission routes1
Has abstractyes

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