Understanding of the alphabetic principle through invented spelling among hearing‐impaired children learning to read and write: experimentation with a pedagogical approach
Bibliographic record
Abstract
Given the problems experienced by hearing‐impaired individuals in learning the written language, a pedagogical approach was tested. The study examined the links between the development of representations of alphabetic system and the results in reading and writing of first graders. In the study, there were 31 hearing‐impaired children and 25 hearing ones. Invented spelling was measured three times during the school year. Reading and writing tests were given at the end of the year. The results obtained revealed a similarity between the learning profile of the hearing‐impaired children and that of the hearing children. It also demonstrated the importance of the work done through invented spelling, among the hearing‐impaired children. Thus, like their hearing peers, hearing‐impaired children are able to use procedures to process the written word based on the alphabetic principle, but continuous support‐implying invented spelling constantly adjusted to the progression of their representations must be provided.
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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 | 0.002 | 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 | 0.001 | 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) | 0.001 | 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".