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Record W2011669336 · doi:10.1111/1540-4781.00157

Reformulation and the Learning of French Pronominal Verbs in a Canadian French Immersion Context

2002· article· en· W2011669336 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueModern Language Journal · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFrench immersionLinguisticsTask (project management)PsychologyTRACE (psycholinguistics)Context (archaeology)Computer scienceHistoryMathematics education

Abstract

fetched live from OpenAlex

In this article, we examine a subset of collaborative dialogues that occurred in a multistage task where 8 Canadian grade 7 French immersion students worked together in pairs. Each pair wrote a story, noticed differences between their text and a reformulator's revision of that text, and reflected on their noticing. We analyze the transcripts of their talk in these 3 task sessions, identifying and describing the language‐related episodes. We trace the development of the target language (French), with specific reference to pronominal verbs, from the learners' first collaborative draft to their posttests. The study explores task differences and differences between lower‐ and higher‐proficiency dyads. The language‐related episodes selected for close analysis, along with the posttest data, provide evidence that in most cases, learners have progressed in their correct use of pronominal verbs in French.

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 score0.715
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.019
GPT teacher head0.223
Teacher spread0.204 · 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