Guide illustré de l'utilisateur : CNB 2010 : Maisons et petits bâtiments (partie 9 de la division B)
Bibliographic record
Abstract
This User's Guide combines two earlier publications, the National Housing Code of Canada 1998 and Illustrated Guide and the User's Guide – NBC 1995 Housing and Small Buildings (Part 9), into one comprehensive document that describes various compliance approaches, including examples and supporting formulas. To facilitate navigation, the User's Guide has been reorganized to match the format used in Part 9 of the National Building Code of Canada (NBC). This illustrated User's Guide features new material on energy efficiency requirements for housing and small buildings and includes updates to match the provisions that were changed or introduced in the 2005 and 2010 editions of the NBC. The User's Guide illustrates important principles of minimum accepted practice and explains the reasons and scientific background behind the Part 9 requirements. This is not a how-to guide on home construction; however, relevant code information is cross-referenced and statistical sources are provided.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.327 | 0.300 |
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".