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Record W2998873532 · doi:10.18192/olbiwp.v10i0.3236

Translanguaging and Linguistic Landscapes: A Study of Manitoban Schoolscapes

2020· article· en· W2998873532 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOLBI Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversité de Saint-Boniface
Fundersnot available
KeywordsTranslanguagingLinguisticsRepertoireSociologyLinguistic landscapeRepresentation (politics)MultilingualismDual languagePedagogyArtPolitical science

Abstract

fetched live from OpenAlex

The purpose of this article will be to review how the theory of translanguaging can be used to explore the linguistic landscapes of bi- and multilingual schools. Such an approach requires researchers to view space and language holistically since translanguaging practices occur not only within an individual but also within a particular space. As a result, a school’s linguistic landscape (schoolscape) can be viewed as a representation of the students’ language repertoire. Qualitative data will be presented from three different secondary school contexts in Manitoba, Canada; French immersion single-track, French immersion dual-track and French-language schools. This data will illustrate how translanguaging offers a new way to approach the analysis of schoolscapes in bi- and multilingual contexts. Keywords: translanguaging, linguistic landscapes, French immersion education, French-language education

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)0.000
metaresearch head score (Gemma)0.001
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 score0.133
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.068
GPT teacher head0.425
Teacher spread0.357 · 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