A qualitative study of the importance and etiology of chronic respiratory disease in Alaska native children.
Bibliographic record
Abstract
OBJECTIVES: To generate new hypotheses about factors that may contribute to chronic respiratory disease in Alaska Native children in rural Alaska. METHODS: Qualitative formative research with interviews of community members, village healthcare providers, and referral providers in the Yukon-Kuskokwim Delta Region of Alaska. RESULTS: The respondents identified chronic and acute respiratory illnesses as the most important serious child health problems of the region. They believed that chronic respiratory conditions, especially asthma, were increasing. The most frequently discussed potential contributing factors were smoke, dust, feeding practices, socioeconomic conditions, and mold. The intervention mentioned most frequently that would make the greatest impact was a more timely diagnosis of asthma. CONCLUSIONS: Reports of an increase in chronic respiratory problems are parallel with reports of increases in dust and mold in the communities. Further environmental quantitative research is necessary to confirm the importance of these factors. In addition, improved education for identification and treatment of asthma would appear to be beneficial.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".