Commentaires sur le calcul des structures (Guide de l’utilisateur du Code national du bâtiment du Canada 2020 : Partie 4 de la division B)
Bibliographic record
Abstract
The Structural Commentaries (User's Guide for the National Building Code of Canada 2020: Part 4 of Division B) is intended to help Code users understand the design provisions provided in Part 4 of Division B of the National Building Code of Canada 2020 (NBC). It contains information and suggested approaches to certain design questions related to structural sufficiency such as limit states design, snow, rain and wind loads, and design for seismic effects. This new edition of the Structural Commentaries reflects technical changes incorporated into the NBC 2020. Topics covered include the following: • Further information on the Importance Categories, including post- disaster buildings, in the context of Part 4 of the NBC • Guidance to support the revisions in provisions for: o loads and load combinations for serviceability limit states, and o tributary areas and live load reduction factors for slabs • Information to support new provisions for snow loads on roofs with solar panels, drift loads for canopies and small roofs adjacent to tall buildings, and wind loads on parapets and attached canopies Commentary J has undergone a comprehensive update to reflect changes to the seismic design provisions in the NBC 2020 and provides guidance on the new and revised provisions. Significant changes include the following: • Commentary on Canada’s 6th Generation Seismic Hazard Model (CanadaSHM6), which formed the basis for changes in the NBC 2020 • Information and examples to support the new approach to the calculation of seismic hazard, including the use of site designation • Guidance to support: o the use of the 2020 National Building Code of Canada Seismic Hazard Tool, o the application of the new Seismic Categories, and o the application of provisions for sloped column irregularity and for buildings with gravity-induced lateral demand • Commentary to help Code users understand the additional performance provisions introduced in the NBC 2020 for buildings in the Post-Disaster and High Importance Categories, and a subset of buildings in the Normal Importance Category. New Commentary M on large farm buildings, including bins and silos, is also introduced.
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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 | 0.014 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.065 | 0.032 |
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".