Nouns to verbs and verbs to nouns: When do children acquire class extension rules for deverbal nouns and denominal verbs?
Bibliographic record
Abstract
ABSTRACT We investigated when children acquire class extension rules for denominal verbs and deverbal nouns using an intermodal preferential looking paradigm. We taught French-speaking 2.5-year-olds (mean age = 2 years, 8.56 months [2;8.56], range = 2;6–2;11) and 3-year-olds (mean age = 3;3.31, range = 3;0–3;5) novel parent nouns or verbs referring to unfamiliar instruments and their functions, and then tested their interpretation of both the parent word and its denominal verb or deverbal noun. Experiment 1 demonstrated that only the 3-year-olds understood the denominal verbs. Experiment 2 demonstrated that only 3-year-olds who learned the parent verbs were able to interpret the deverbal nouns correctly. These findings suggest that French-speaking children acquire class extension rules for denominal verbs and deverbal nouns by the age of 3 years and can demonstrate this knowledge as long as they are able to learn the parent words.
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".