Child and adult construal of restrictive relative clauses: Knowledge of grammar and differential effects of syntactic context
Bibliographic record
Abstract
We report four act-out experiments testing the sensitivity of adults and three- to five-year-old children to the distinction between restrictive and non-restrictive relative clauses in English. Specifically, we test knowledge of the fact that restrictive relative clauses cannot modify a proper name head, and of the fact that relatives introduced by that (as opposed to a wh-pronoun) are obligatorily restrictive. Both children and adults show knowledge of these properties. No support was found for the hypothesis that children extend the block on proper name heads to wh-relatives. Both children and adults are sensitive to the syntactic context (double object vs. existential) in which the relative clause is embedded. However, adults differ from children in four respects. First, in the double object context, adults are more likely than children to commit the error of construing a that relative as referring to a proper name head. Second, the effect of syntactic context on selection of a head is larger for adults than for children. Third, for adults, but not for children, the effect of syntactic context interacts with the type of relative clause. Fourth, adults, but not children, are influenced by whether they hear the existential context before the double object context. We propose that by three to four years of age children have acquired an adult-like grammar of relative clauses, and that the differences we see in child and adult performance can be attributed to that grammar in combination with a mature (adult) or immature (child) sentence processing capacity.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".