Bibliographic record
Abstract
PURPOSE: The purpose of this study was to examine the longitudinal predictive relationships among variables that may contribute to poor phonological awareness skills in preschool-age children with speech-sound disorders. METHOD: Forty-seven children with speech-sound disorders were assessed during the spring of their prekindergarten year and again at the end of their kindergarten year. Hierarchical multiple regression analysis was used to examine relationships among the children's prekindergarten and kindergarten performance on measures of speech perception, vocabulary, articulation, and phonological awareness skills in order to verify a proposed developmental ordering of these variables during this 1-year period. RESULTS: Prekindergarten speech perception skills and receptive vocabulary size each explained unique variance in phonological awareness at the end of kindergarten. Prekindergarten articulation abilities did not predict unique variance in phonological awareness a year later. Prekindergarten speech perception skills also explained unique variance in articulation skills at the end of kindergarten. CONCLUSIONS: Maximizing children's vocabulary and speech perception skills before they begin school may be an important strategy for ensuring that children with speech-sound disorders begin school with age-appropriate speech and phonological awareness abilities.
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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 | 0.006 |
| 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 | 0.000 |
| 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 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".