Conférence APTI à Montréal en october 2008 | Examen public des codes modèles nationaux de 2010 à l'automne 2008 | Les Séminaires Regard sur la science du bâtiment maintenant disponibles sur le Web | Nouvelles publications pratiques du CNRC | Nouveau projet de recherche sur la ventilation, la qualité de l'air et la santé
Bibliographic record
Abstract
The Association for Preservation Technology International will hold its annual conference in Montreal. The Canadian Commission on Building and Fire Codes (CCBFC) invites the public to take part in its annual review of proposed changes to the national model codes. Complete audio and visual records of each presentation of two most recent BSI seminars, BSI 2006/07 on Sustainable Infrastructure and BSI 2007/08 on Fire Safety Research for Better Building Design can be purchased on NRC website. Two new technical digests about performing basements are added to the Construction Technology Updates series and are now available on the NRC-IRC website. NRC-IRC has initiated a major project with the goal to contribute to better occupant health through improved air quality in buildings. The three-pronged activity will study the correlation between ventilation, air quality and health, develop methods to assess technologies that are presumed to improve air quality, and provide a national forum for decision-makers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.240 | 0.053 |
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".