The acquisition of relative clauses by Mandarin heritage language children
Bibliographic record
Abstract
Abstract This study examined the phenomena of incomplete acquisition, attrition, and protracted acquisition of the L1 in HL children by focusing on the comprehension and production of subject and object relative clauses (RCs) in Mandarin HL children. A cross-sectional design (study 1) and a longitudinal design (study 2) were both included. Our results showed that HL children were comparable to monolinguals for the comprehension of RCs in both study 1 and 2. For the production of RCs, although monolinguals outperformed HL children in study 1, HL children’s production of RCs was convergent with monolingual-like levels over time (study 2). We conclude that the reduced L1 input HL children receive in the host country does not necessarily lead to deficient acquisition of the L1. Perhaps for some complex structures in the L1 (e.g., RCs), HL children may need more time than monolingual children to accumulate the critical mass of input needed to acquire them.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".