MétaCan
Menu
Back to cohort
Record W3089103774 · doi:10.1075/tilar.28.05rez

Referring expressions and developmental language disorders

2020· book-chapter· en· W3089103774 on OpenAlex
Stefano Rezzonico, Mélanie Bernasconi, Geneviève de Weck, Christine da Silva-Genest, Stéphane Jullien

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.

Bibliographic record

VenueTrends in language acquisition research · 2020
Typebook-chapter
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyLinguisticsDevelopmental psychologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract This study investigated the relation between morphosyntactic and discourse-pragmatic features in the production of referential expressions by French-speaking children with developmental language disorders (DLD) as compared to their typically developing peers (TD). Fifteen TD children and 15 children with DLD, age 4;6 to 7;5 were asked to tell a picture-book story with their mother. The type of referring expression, the position in the referential chain, and the syntactic function were coded. Both groups of children were sensitive to discourse and syntax. Children with DLD differed from their peers in the use of object clitic pronouns in subsequent mentions, the proportion of nouns produced without a determiner, and null subjects. Null subjects only appeared in a particular discursive and pragmatic context.

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 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: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.626
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
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0520.001

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 head0.070
GPT teacher head0.402
Teacher spread0.332 · 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