MétaCan
Menu
Back to cohort

MANUELS DE FLE ET MAÎTRISE DE LA LANGUE ÉCRITE

2015· article· fr· W1687878807 on OpenAlexaffabout
Rebecca Craven

Bibliographic record

VenueNon Plus · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Les quatre de l'enseignement habiletés d'une langue étrangère incluent écrite la production (EP) comme une composante indispensable pour la langue de la maîtrise. Cependant, est-ce que la la manière dont on les manuels scolaires travaille dans cette capacité developpe? Selon Courtillon (2003), la présentation d'un modèle d'écriture est si on veut makeup bag éviter la production d'un texte qui suit les structures de la langue maternelle. Cette étude du notre orientation conduira manuel Le Nouveau Taxi! 1 (Capelle, Menaud, 2009), qui est dans le utilisé couramment cours de français élémentaire (FREN * 1150) à l'Université de Guelph affirme Mener et qui à la langue de la maîtrise écrite. Développer recherche pour notre: i) nous de la présentation des discuterons écrites tâches et des genres textuels; et à un niveau deuxième ii) analyserons nous le recit d'expérience et le journal de bord de l'enseignante courante du cours. Ces données, complétées par les résultats des études antérieures (Schneuwly, Dolz 1997 et Sales Lamb, Michelangelo de Azevedo, Prado Mattos, 2000), nous permettront of discuter de la pertinence de l'approche actionnelle présentée dans ce manuel pour la maîtrise of la langue et de son utilization comment promeut class or en pas cette capacité.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.892
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
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)0.0010.001

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 head0.049
GPT teacher head0.404
Teacher spread0.355 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Other design
Domainnot available
GenreOther

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
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueNon PlusSame topicFrench Language Learning MethodsFrench-language works237,207