Otitis media and hearing loss among 12-16–year-old Inuit of Inukjuak, Quebec, Canada
Bibliographic record
Abstract
OBJECTIVES: Chronic otitis media (COM) and associated hearing loss is a frequent problem for many Inuit children in Canada. In this study, we evaluated individuals aged 12-16 years living in Inukjuak, to determine the prevalence of middle ear disease and hearing loss, and the effect of hearing loss on academic performance. METHODS: Otological examination, hearing test, medical and school file review were performed in November 1997. 88 individuals were seen. RESULTS: Otological examination revealed maximal scarring in 1.8%, minimal scarring in 34.9%, normal eardrums in 49.1% and chronic otitis media in 16.9%. There were 62 individuals whose ear exams could be directly compared with a previous exam done in 1987. Of those, there were three ears that had developed COM and 4/13 ears with COM in 1987 that had healed. Hearing tests found bilateral normal hearing in 80% (PTA <20dB), unilateral loss in 15% and bilateral loss in 5%. Hearing loss was associated with poorer academic performance in Language (p<.05). A similar trend was found in Mathematics but not in Inuttitut. CONCLUSION: Chronic otitis media remains a significant problem among the Inuit, with a prevalence of 16.9% in individuals aged 12-16 years. One in five in this age group has hearing loss, and this hearing loss impacts on academic performance.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".