Indoor environmental quality in homes of asthmatic children on the Elsipogtog Reserve (NB), Canada
Bibliographic record
Abstract
OBJECTIVE: To inspect houses and analyze settled dust from 26 homes with asthmatic children in the Elsipogtog Reserve, New Brunswick, for contaminants known to be associated with respiratory symptoms. This pilot observational study was conducted in order to enable larger research into housing and health in Aboriginal communities. METHODS: Twenty-six homes were subject to an informed inspection and settled dust collection from the child's bedroom. The fine dust (< 300 microm) was analyzed for endotoxin, house dust mite and fungal glucan concentrations, as well as for building-associated fungi. RESULTS: The percentage of homes in this study that had mould damage was slightly higher than in much larger studies in other parts of Canada. Qualitatively, the causes of the water and mould damage were similar to those found in a larger study in nearby PEI. However, in a few cases, the type of damage found in Elsipogtog was at a more advanced stage. House dust mite allergens, endotoxin and fungal glucan concentrations in settled dust included values that have been associated with increased respiratory symptoms. This selection of houses was, on average, cleaner than many homes studied in Canada. CONCLUSION. Although the range of mould damage observed in this study was similar to that seen elsewhere in Canada, the underlying causes tended to reflect more serious maintenance problems. A systematic evaluation of mould damage, on a community-wide basis, is a useful process to set priorities for repair.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".