Self-Reported Listening Abilities in Educational Settings of Typically Hearing Children and Those Who Are Deaf/Hard-of-Hearing
Bibliographic record
Abstract
Children who are deaf or hard-of-hearing (D/HH) learning in inclusive educational settings must be aware of how well they hear and understand spoken language to advocate for themselves. This study explored elementary-age children's self-reported listening abilities using thematic analysis of brief interviews. Participants were 16 D/HH and 16 typically hearing (TH) 7- to 12-year-old monolingual English speakers in Canada. Children were asked about their ability to hear and understand the teacher, other students, and people in different environments. Findings showed surprising similarities across groups in terms of numbers of "no difficulty" responses and awareness of listening barriers related to speaker and environmental characteristics. Unsurprisingly, children who are D/HH were more likely to discuss hearing technologies and to attribute difficulties to their hearing abilities. Findings suggest that children who are D/HH with poor speech discrimination in noise abilities require support in developing awareness of and expressing difficulties with listening 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 | 0.005 |
| 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 | 0.001 |
| 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".