Cross-script transfer of word reading fluency in a mixed writing system: Evidence from a longitudinal study in Japanese
Bibliographic record
Abstract
ABSTRACT We examined the cross-lagged relations between word reading fluency in the two orthographic systems of Japanese: phonetic (syllabic) Hiragana and morphographic Kanji. One hundred forty-two Japanese-speaking children were assessed on word reading fluency twice in Grade 1 (Times 1 and 2) and twice in Grade 2 (Times 3 and 4). Nonverbal IQ, vocabulary, phonological awareness, morphological awareness, and rapid automatized naming were also assessed in Time 1. Results of path analysis revealed that Time 1 Hiragana fluency predicted Time 2 Kanji fluency after controlling for the cognitive skills. Time 2 Hiragana fluency did not predict Time 3 Kanji fluency or vice versa after the autoregressor was controlled, but Hiragana and Kanji fluency were reciprocally related between Times 3 and 4. These findings provide evidence for a cross-script transfer of word reading fluency across the two contrastive orthographic systems, and the first evidence of fluency in a morphographic script predicting fluency development in a phonetic script within the same language.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".