Phoneme awareness is not a prerequisite for learning to read
Bibliographic record
Abstract
Three lines of evidence suggest that phoneme awareness (as measured by phoneme deletion) is not a prerequisite for learning to read and spell. 1. A boy with a serious reading problem could provide letters to represent onsets and codas better than he could delete onsets and codas. 2. A contingent analysis of reading and spelling achievement and deletion of onsets or codas or deletion of one phoneme from a complex onset was undertaken in a sample of poor readers. Onset and coda deletion developed before the students’ decoding skills reached a third-grade level, but deletion of a phoneme from an onset developed along with reading achievement. 3. When phoneme deletion was tested by a recognition method, good eighth-grade readers erroneously accepted items with the entire onset deleted as being correct responses, and had longer response times on these items. Onset and coda deletion develop after onsets and codas are represented alphabetically and before children read at about a third-grade level. However deletion of one phoneme from an onset cluster develops slowly as literacy develops and is a difficult task even for good readers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".