Assessing pragmatics in early childhood with the Language Use Inventory across seven languages
Bibliographic record
Abstract
The Language Use Inventory (LUI) is a parent-report measure of the pragmatic functions of young children's language, standardized and norm-referenced in English (Canada) for children aged 18-47 months. The unique focus of the LUI, along with its appeal to parents, reliability and validity, and usefulness in both research and clinical contexts has prompted research teams globally to translate and adapt it to other languages. In this review, we describe the original LUI's key features and report on processes used by seven different research teams to translate and adapt it to Arabic, French, Italian, Mandarin, Norwegian, Polish, and Portuguese. We also review data from the studies of the seven translated versions, which indicate that all the LUI versions were reliable and sensitive to developmental changes. The review demonstrates that the LUI, informed by a social-cognitive and functional approach to language development, captures growth in children's language use across a range of linguistic and cultural contexts, and as such, can serve as a valuable tool for clinical and research purposes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".