Speech-language outcomes of children with unilateral and mild/moderate hearing loss
Bibliographic record
Abstract
This work examined speech and language skills of a cohort of children with unilateral and bilateral mild/moderate hearing loss at time of discharge from preschool therapy services as they were transitioning to the school system. The study consisted of a retrospective chart review of children born between 2003 and 2011 and identified with a unilateral or a bilateral hearing loss up to 55 dB. Speech and language outcomes measures were obtained from three different tests commonly administered as part of the therapy protocol. Comparisons were made with normative data. A total of 238 children were diagnosed with a permanent unilateral or bilateral hearing loss by six years of age. Speech language standardised test scores were available for 74 children (65 English-speaking, 9 French-speaking). While overall results on all outcome measures remained within the expected range for children with typical hearing, of the 65 children with speech and language outcomes, 13 of 52 (25.0%) and 15 of 53 (28.3%) obtained lower scores on expressive communication and articulation, respectively, compared to children with typical hearing. These children were identified and fitted with hearing aids at a later age. Findings of this study suggest possible benefits of early identification and intervention and warrant additional research on early-identified children with unilateral or mild/moderate bilateral hearing loss.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".