One complicated extended family: the influence of alphabetic knowledge and vocabulary on phonemic awareness
Bibliographic record
Abstract
This research evaluated possible sources of individual differences in early explicit, smaller segment phonological awareness. In particular, the unique contributions of oral vocabulary and alphabetic knowledge to phonemic awareness acquisition were examined across the first year of school. A total of 57 participants were tested in kindergarten (mean age 5 years, 8 months) and again 1 year later midway through Grade 1. Results revealed that oral vocabulary and alphabetic knowledge were correlated with concurrent larger segment phonological awareness and phonemic blending in kindergarten whereas oral vocabulary was the only measure that predicted unique variance in phonemic awareness into Grade 1. Further, this pattern of results was most pronounced for analytic (segmenting), as opposed to synthetic (blending), phonemic awareness. These results highlight the importance of different component processes to explicit, smaller segment awareness depending upon the developmental period under study and also accentuate the need to separate analytic from synthetic phonemic awareness in literacy research.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".