Learning spellings and meanings: Longitudinal relations to reading
Bibliographic record
Abstract
Background Prominent theories of reading make the prediction that individual differences in children's word learning capacity determine the pace of their acquisition of reading skill. Despite the developmental nature of some of these theories, most empirical research to date has explored the relation between word learning capacity and reading at a single time point. The present study extends this research base by investigating whether earlier learning of the spelling and meaning of words is associated with later core aspects of reading: orthographic representations, word reading and reading comprehension. Methods Participants were 120 English‐speaking children followed longitudinally from Grade 3 to Grade 4 (i.e., from 8 to 9 years of age on average). At Grade 3, children read stories containing new words and answered questions about the spelling and meaning of these new words, evaluating orthographic and semantic learning, respectively. Children also completed outcome measures of orthographic representations (with a choice task targeting the spelling of existing words), word reading and reading comprehension (with standardised tasks) at Grades 3 and 4. We conducted regression analyses controlling for age, nonverbal reasoning, working memory, vocabulary and phonological awareness. Results We found that each of orthographic and semantic learning predicted gains in orthographic representations from Grade 3 to Grade 4. Furthermore, orthographic learning at Grade 3 predicted word reading at Grade 4, while semantic learning at Grade 3 predicted reading comprehension at Grade 4. Conclusions These longitudinal associations between orthographic and semantic learning and core aspects of reading strengthen the evidence in support of the hypothesis that children's word learning capacity plays a key role in reading development.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".