Phoneme manipulation not onset‐rime manipulation ability is a unique predictor of early reading
Bibliographic record
Abstract
BACKGROUND: Phonological awareness is known to be an excellent predictor of later reading acquisition. It remains unclear, however, whether phoneme manipulation alone best explains this association or whether an additional direct contribution of onset-rime awareness is predictive. This issue is explored here. METHOD: A longitudinal study is reported predicting national test and teacher-assessed performance of 351 children aged 7 from phonological awareness measures, pupil baseline attainment and background measures at age 5. RESULTS: Explicit phoneme manipulation skills at age 5 correlated most strongly with literacy skills at age 5. Phoneme manipulation at age 5 predicted all four reading measures taken at age 7 after pupil background, baseline data and onset-rime awareness were controlled in regression analyses. Onset-rime manipulation did not predict reading at 7 in parallel analyses. After controlling for initial reading at age 5, phoneme manipulation still predicted reading comprehension, and teacher-assessed reading and writing at age 7. CONCLUSIONS: Results support the existence of a route from phoneme manipulation, but not an additional direct route from explicit onset-rime manipulation at 5, to reading at 7. Practically, findings show that professionals can augment baseline and pupil background data with phoneme manipulation screening in the early identification of learning needs.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".