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Record W7123459641 · doi:10.18452/35915

Roma Chumak-Horbatsch (2025): Multilingual Teaching: The Missing Piece. Bristol/Jackson: Multillingual Matters.

2025· article· en· W7123459641 on OpenAlexaboutno aff
Dolors Masats

Bibliographic record

Venueedoc Publication server (Humboldt University of Berlin) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMultilingualismAdjectiveMultilingual EducationTerm (time)Reflection (computer programming)Space (punctuation)Bilingual educationLanguage educationMetalinguistics

Abstract

fetched live from OpenAlex

Multilingual Teaching: The Missing Piece (Chumak-Horbatsch, 2025) offers a concise reflection on inclusive language education. The book’s central claim is that learners who already master the language of school should be explicitly included in multilingual education initiatives. Before examining the book’s contents, one conceptual stance deserves attention: the use of the word ‘multilingual’ in the title and throughout the book. There is general consensus that multilingualism refers to the presence of multiple languages within a space or community (Council of Europe, 2001). However, while the term multilingual is commonly used as an adjective to describe educational approaches in America and Canada, in Europe the term plurilingual is preferred, as the two concepts are not regarded as synonyms. ‘Plurilingual’ stands in contrast to ‘unilingual’. Unilingual pedagogies advocate for teaching languages in isolation, whereas plurilingual pedagogies recognise and use all the languages students know – both school and home/community languages – as resources for learning (de la Cruz, 2019). Chumak-Horbatsch’s ‘language-rich classrooms’ are multilingual in composition; however, her pedagogical objectives may be interpreted as either multilingual or plurilingual, depending on the reader’s background.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.370
Teacher spread0.336 · 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
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueedoc Publication server (Humboldt University of Berlin)Same topicMultilingual Education and PolicyFrench-language works237,207