RAN Components and Reading Development From Grade 3 to Grade 5: What Underlies Their Relationship?
Why this work is in the frame
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Bibliographic record
Abstract
We examined (a) how rapid automatized naming (RAN) components—articulation time and pause time—predict reading accuracy and reading fluency in Grades 4 and 5, and (b) what cognitive-processing skills (phonological processing, orthographic processing, or speed of processing) mediate the RAN–reading relationship. Sixty children were followed from Grade 3 to Grade 5 and were administered RAN (Letters and Digits), phonological processing, lexical and sublexical orthographic processing, speed of processing, reading accuracy, and fluency tasks. Pause time was highly correlated with reading fluency and shared more of its predictive variance with lexical orthographic processing and speed of processing than with phonological processing. Articulation time also predicted reading fluency, and its contribution was mostly independent from other cognitive-processing skills. Implications for the relationship between RAN and reading are discussed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 it