Establishing word representations through reading and spelling: comparing degree of orthographic learning
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Skilled reading involves rapid and automatic word recognition. Through a self‐teaching process, phonological decoding during reading is thought to establish the word‐specific representations in memory that support efficient word reading. Much is known about orthographic learning during reading; less is understood about this process during spelling. Here, we compared the degree of orthographic learning that occurs during reading and spelling. Forty‐eight children in Grade 2 practised reading or spelling nonwords within stories. Orthographic learning was measured using spelling recognition, spelling production and word naming tasks. Both readers and spellers showed evidence of orthographic learning; however, spellers outperformed readers on all tasks. Overall, results suggest that spelling sets up a higher quality representation in memory and highlight the importance of spelling in the development of word reading efficiency.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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