Article Condensation and Mould: The Canadian Experience
Bibliographic record
Abstract
Abstract It has been estimated that up to 20 % of the UK housing stock is significantly affected by dampness and associated mould growth. The effects on the health of the occu-pants of affected homes are well documented. The recent imposition of VAT at 17.5 % on domestic fuel is generally regarded as likely to worsen the problem. However, this deteri-orating situation puts me in mind of a recent study tour to Canada where the problem of dampness in housing is being tackled very differently to the United Kingdom. Are there any lessons to be learnt? Background Condensation occurs when the atmosphere can no longer support a given amount of water vapour occasioned by a reduction in temperature, such as occurs when air is brought into contact with a colder surface or when a reduction in atmospheric tempera-ture occurs. This critical temperature/ humidity relationship is known as ’dew-point’. Condensation can lead to the growth of moulds, which can liberate spores which are proven irritants of mucous membranes, and lead to unsightly damage to surface fin-ishes. The effects upon the residents of affected dwellings include both physiologi-cal and psychological damage to those most at risk, that is to say the very young and those suffering from respiratory infections as evidenced by the Chartered Institute of Environmental Health (1989). Poor design of housing, coupled with constructional problems and new surface finishes have exacerbated the growth of con-densation in the UK since the Second World War as indicated by House Condition
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.020 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
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".