Spelling performance of Chinese children using English as a second language: Lexical and visual–orthographic processes
Bibliographic record
Abstract
The present study compared lexical and visual–orthographic processing in the spelling performance of 30 Cantonese Chinese children who are English as a second language (ESL) learners to that of 33 native English-speaking (L1) children. Chinese ESL children showed poorer performance in spelling to dictation of pseudowords than L1 children. The difference between real word and pseudoword spelling performances for ESL children was significantly greater than that for L1 children. Moreover, Chinese ESL children outperformed their L1 counterparts in a confrontation spelling task of orthographically legitimate and illegitimate letter strings. In line with their advantage in spelling visually presented materials, the difference between spelling performance on legitimate and illegitimate letter strings for the Chinese children was significantly smaller than that for the L1 children. These findings are discussed in terms of early transfer of L1 literacy skills in second language literacy acquisition and support for a multiroute reading model.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".