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Record W2016995613 · doi:10.3138/cmlr.64.3.491

Effet de la nature des éléments grammaticaux sur la saisie en français langue seconde

2008· article· en· W2016995613 on OpenAlexvenueno aff
Daphnée Simard

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsTask (project management)OperationalizationPsychologyComputer scienceNatural language processingArtificial intelligenceHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Abstract: The aim of this study was to examine the interaction between three different syntactic elements and the intake of linguistic information presented in a written text. To attain this objective, young learners (n = 76) of French as a second language read a text containing three targeted syntactic elements. Three experimental conditions were created. In the first group, participants (n = 21) read a text in which the targeted syntactic elements were highlighted using typographical cues. Participants in the second group (n = 29) read the same text, but the syntactic elements targeted by the study were not highlighted. The participants in the third group (n = 26) were not exposed to the text. Intake was operationalized through the results obtained on an error-identification task that the students completed immediately after having been exposed to one of the experimental conditions. The results obtained only partially confirm the study hypothesis, according to which intake product will vary according to the syntactic elements to which the learner is exposed, independent of the experimental condition to which they are exposed.

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)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.226
Teacher spread0.214 · 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 designObservational
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

Citations3
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicEFL/ESL Teaching and LearningFrench-language works237,207