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Record W2994901785 · doi:10.4000/12wgh

Lexicalisation des évènements de déplacement en français martiniquais et en français hexagonal

2019· article· fr· W2994901785 on OpenAlexaff
Noémie François-Haugrin

Bibliographic record

VenueArchipélies · 2019
Typearticle
Languagefr
FieldPsychology
TopicCategorization, perception, and language
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Cette étude de corpus compare la lexicalisation du déplacement en français martiniquais et en français hexagonal au sein des évènements de déplacement spontané non métaphorique. Les énoncés retenus proviennent de narrations élicitées auprès d’enfants martiniquais de 7 ans (n=16), d’enfants français de 7 ans (n=20), d’adultes martiniquais (n=10) et d’adultes français (n=5). Le codage portait sur le type du verbe, la présence/absence du site, la présence/absence d’une préposition spatiale introduisant le site et, le cas échéant, le type de la préposition spatiale. Au niveau développemental, l’étude met en évidence une tendance des enfants à omettre le site et une préférence pour les verbes déictiques. Au niveau dialectal, les enfants martiniquais omettent le site davantage que leurs pairs français, mais le maintiennent davantage en présence d’un verbe déictique. Enfin, on observe un usage plus fréquent des verbes déictiques chez les adultes français. Il ressort donc que les deux variétés ont des préférences distinctes pour l’encodage de la trajectoire.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0510.008

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 head0.018
GPT teacher head0.326
Teacher spread0.309 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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