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Record W7119506324 · doi:10.23641/asha.30888404.v2

Interactive features and language trajectories (Sylvestre et al., 2026)

2025· other· W7119506324 on OpenAlexaboutno aff
Audette Sylvestre, Mélissa Di Sante, Catherine Julien, Chantal Mérette, Caroline Bouchard

Bibliographic record

Venuefigshare ASHA Publications · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsUtteranceNeglectNormativeMean length of utteranceLanguage developmentLongitudinal studyQuality (philosophy)

Abstract

fetched live from OpenAlex

<b>Purpose: </b>This study examines the critical role of interactive and linguistic features of the family environment in the language and speech developmental trajectories of children with a history of neglect. The proposed hypothesis is that the quality of interactive features will be the primary determinant of whether children follow a normative (control-like) or low developmental trajectory.<b>Method: </b>Data were collected from the Early Longitudinal Language and Neglect study conducted in Quebec (Canada), involving 41 children who had experienced neglect, living in either biological or foster families. Children’s language and speech development was assessed through measures of expressive and receptive vocabulary, mean length of utterance, and percentage of words correct at six time points between 36 and 66 months of age. The child’s language and speech development was classified into one of two categories: normative or low. Parent–child interactive and linguistic features were analyzed using 15-min video recordings of semistructured play sessions conducted at home.<b>Results: </b>Low levels of parental interactive features—such as sensitivity, reactivity, and reciprocity—were positively associated with lower language and speech trajectories in children. Among linguistic features, only the parental mean length of utterance showed a significant link to low trajectories. These patterns were observed consistently in both biological and foster families.<b>Conclusions: </b>The findings demonstrate that interactive features play a critical role in shaping the language and speech trajectories of children experiencing neglect, even more so than linguistic features. This study highlights the importance of high-quality interactions with parents in mitigating the negative effects of neglect on language and speech development. A targeted and adaptive approach, emphasizing parental strengths, has the potential to significantly improve developmental outcomes for children growing up in contexts of adversity.<b>Supplemental Material S1. </b>Sociodemographic questionnaire.<b>Supplemental Material S2.</b> COPI — Coding Observations of Parental Behaviors in the Context of Parent-Child Interactions.Sylvestre, A., Di Sante, M., Julien, C., Mérette, C., &amp; Bouchard, C. (2026). The critical role of interactive features in the language and speech developmental trajectories of children experiencing neglect: Results of the early longitudinal language and neglect study. <i>Journal of Speech, Language, and Hearing Research, </i><i>69</i>(1), 238–252. https://doi.org/10.1044/2025_JSLHR-24-00884

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)0.000
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.513
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.010
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.5330.020

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 head0.019
GPT teacher head0.324
Teacher spread0.305 · 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 designNot applicable
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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