The impact of verb form, sentence position, home language, and second language proficiency on subject–verb agreement in child second language Dutch
Bibliographic record
Abstract
ABSTRACT It has been argued that children learning a second language (L2) omit agreement inflection because of communication demands. The conclusion of these studies is that L2 children know the morphological and syntactic properties of agreement inflection, but sometimes insert an inflectional default form (i.e., the bare verb) in production. The present study focuses on factors that explain errors with subject–verb agreement in the speech of children learning Dutch as their L2. Analyses of experimentally obtained production data from 4- to 9-year-old L2 children reveal that verb form, sentence position, home language, and L2 proficiency determine accuracy with subject–verb agreement in the L2. Most errors were omissions of inflection, in line with the above hypothesis. However, in more exceptional contexts, the children also substituted verb forms, which is more difficult to reconcile with the claim that L2 children's errors reflect insertion of a default form.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".