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Record W4401616191 · doi:10.1075/jicb.24005.man

Basque-French “Grand Oral” assessment in Basque immersion education

2024· article· en· W4401616191 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.

Bibliographic record

VenueJournal of Immersion and Content-Based Language Education · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsArgumentativeFrench immersionLinguisticsTerminologyOralityPsychologyHistoryPedagogyLiteracyPhilosophy

Abstract

fetched live from OpenAlex

Abstract This contribution aims to explore the bilingual strategies of students producing the bilingual Basque-French “Grand Oral” (GO) text genre in the only Basque immersion high school in Northern Basque Country (NBC henceforth) (France). 20 immersion students’ Basque-French GO productions are analysed. Previous research with similar text genres in the Basque Autonomous Community (Spain) shows that even if immersion students successfully manage linguistic alternation, they scarcely adapt Basque terminology when using English. The GO is an explanatory-argumentative text genre, addressed to a jury involving a monolingual French speaker. The analysis shows that students alternate languages with no lexico-grammatical difficulties. However, when they refer to Basque terms in French, they hardly include any clarification for the non-Basque-speaking member of the jury. These findings could shed light on a better understanding of Basque immersion students’ oral bilingual strategies and could contribute to the development of plurilingual teaching approaches in NBC multilingual education, which remain unexplored.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.964
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.292
Teacher spread0.270 · 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