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Record W4205848803 · doi:10.17651/socjoling.35.23

A Review of the Book: The Many Faces of Multiligualism. Language Status, Learning and Use Across Contexts

2021· review· en· W4205848803 on OpenAlexaboutno aff
Agnieszka Maciąg-Fiedler

Bibliographic record

VenueSocjolingwistyka · 2021
Typereview
Languageen
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsMultilingualismSociolinguisticsLinguisticsSociologyApplied linguisticsNeuroscience of multilingualismMultilingual EducationPhilosophy

Abstract

fetched live from OpenAlex

Presented text is a review of the book The Many Faces of Multilingualism. Language Status, Learning and Use Across Contexts, edited by Piotr Romanowski and Martin Guardado. Discussed book undertakes the issues of multilingualism, one of the most vivid phenomenon in applied linguistics and sociolinguistics recently. The volume consisting of 11 chapters, is divided in two parts: ‘(Socio) Linguistic Aspects of Multilingualism’ and ‘Pedagogical Aspects of Multilingualism’. The contributors (all multilingual), coming from different countries (e.g. Poland, Latvia, Canada, Brazil, Japan, South Africa), focuse on specific questions related to multilingual education and analyze challenges of the multilingual society.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.004

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 head0.111
GPT teacher head0.434
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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