Otitis media: health and social consequences for aboriginal youth in Canada’s north
Bibliographic record
Abstract
OBJECTIVES: Otitis media is endemic among Inuit, First Nations and Métis children in northern Canada, with prevalence rates in some communities as high as 40 times that found in the urban south. Hearing impairment, much of it attributable to chronic otitis media, is the most common health problem in parts of the arctic, and conductive hearing loss among children may affect as many as two-thirds. STUDY DESIGN AND METHODS: There is a need for systematic data based on consistent disease definitions and measures, and taking account of cross-cultural methodological issues and sampling. RESULTS: Otitis media is most likely to develop in infancy. Susceptibility has been linked to immune defects and to a variety of environmental factors. Among the most significant are diet, the decline in initiation and maintenance of breastfeeding, and exposure to cigarette smoke. Hearing loss has been related to difficulties in language acquisition, and to subsequent issues with literacy and school achievement, including learning disabilities and attention deficits. The economic and social costs of otitis media are substantial. CONCLUSION: Approaches to treatment and prevention have enjoyed limited success. Public health and medical practice need to be informed by the traditional knowledge and practices of indigenous peoples.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".