Gender-marked determiners help Dutch learners' word recognition when gender information itself does not
Bibliographic record
Abstract
Dutch, unlike English, contains two gender-marked forms of the definite article. Does the presence of multiple definite article forms lead Dutch learners to be delayed relative to English learners in the acquisition of their determiner system? Using the Preferential Looking Procedure, we found that Dutch-learning children aged 1 ; 7 to 2 ; 0 use articles during sentence comprehension in a fashion comparable to similarly aged English learners. That is, Dutch learners' sentence processing was impaired when a nonsense (se) as opposed to real article (de, het) preceded target words, much like English learners' sentence processing is disrupted by the use of a nonsense article. At the same time, however, gender cues did not help Dutch learners recognize target nouns more efficiently, indicating that gender has yet to be acquired. Thus, although Dutch-learning children aged 1 ; 7 to 2 ; 0 have not mastered all aspects of their language's article system, they nonetheless use their partial knowledge of articles during speech processing.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".