A field study on quality of three First Nation homes on the Squamish Urban Reserve of West Vancouver
Bibliographic record
Abstract
Three new homes in the First Nations Squamish urban reserve were instrumented, tested, and monitored for a period of one year. Performance data was obtained from these homes and analyzed to help assess their quality and improve their performance. From the field study, the houses performed reasonably well. However, there is large room for improvements. Considering construction durability, the built-in moisture in the houses dried well. However, as expected, the moisture in the attics was high and improvements are recommended. The monitoring also confirmed that north facing walls take more time to dry and remain wet in some areas, despite the fact that the monitored year was one of the driest years in record, as reported by Environment Canada. Dangerously high moisture levels were also recorded in a few wall locations, believed to be caused by construction deficiencies at window sills and wall penetrations. In general, wall orientation and obstructions to solar radiation play a major role in the moisture balance of walls. This study confirmed that north-facing walls have higher moisture content, which also takes longer to dry out. South-facing and east-facing walls have lower moisture content (i.e. due to higher solar radiation and higher wall temperature to promote evaporation). The effect of external obstructions (i.e. large trees) to solar radiation was seen in the high moisture content of the west walls that was close to that of north walls. However, as reported in this study, poor construction detailing overpowers orientation on impacting wall moisture, and is the major source of concern for rain penetration. Unfortunately, wood-frame construction is unforgiving to construction deficiencies, and maximum care must be exercised to protect all details and wall penetrations from rain. Considering the indoor environment, in general the conditions were within acceptable limits; however, indoor conditions are greatly affected by occupants’ behaviours (e.g. opening windows in cold days). Particular problems arising from tobacco smoking and wood carving could not be measured. From the field study and computer simulations, it is recommended to make the houses more airtight to improve durability, energy efficiency, and possibly indoor air quality. It is also recommended to decouple the ventilation system from the house heating system to improve its ventilation reliability.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".