MétaCan
Menu
Back to cohort
Record W207647353 · doi:10.26034/tranel.2005.2629

Communication et langage du jeune enfant: actions de prévention précoce pour une intégration sociale réussie

2005· article· en· W207647353 on OpenAlexaboutno aff
Agnès Bo, Laurence Kunz, Alain Devevey

Bibliographic record

VenueTravaux neuchâtelois de linguistique · 2005
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsSpecific language impairmentPsychologyDevelopmental psychologyLanguage impairmentHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

The number of children with delayed language is increasing in vulnerable environment. Three types of preventing actions are proposed: screening, specific teaching to teachers and parents/children workshops. Coupling these 3 different approches allows to improve the language abilities of the children, and the children / teachers and children / parencts interactions. Material and methods: children were assessed by the means of 2 standardized tests, TVAP (Deltour 1998) and DPL3 (Coquet, 1996). The results permitted to define 3 groups: children without language disabilities (GR 1), borderline children (GR 2) and children with communicative and/or language impairment (GR 3). Teachers were submitted to a HANEN program (learning Language and Loving It). Parents were enrolled in a workshop on pragmatic interactions in language (CLSC orleans Québec). Children were post-tested using TVAP and DPL3. Results: children ciming from GR 1 an GR 2 displayed increased language abilities after the programs but no children from GR 3 (with language impairment).

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.053
GPT teacher head0.420
Teacher spread0.367 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueTravaux neuchâtelois de linguistiqueSame topicFamily and Disability Support ResearchFrench-language works237,207