Code de construction du Québec, Chapitre I.1 – Efficacité énergétique du bâtiment, et Code national de l'énergie pour les bâtiments – Canada 2020 (modifié)
Bibliographic record
Abstract
This document, published by the National Research Council of Canada in collaboration with the Régie du bâtiment du Québec, contains both the new edition of Chapter I.1, Energy Efficiency of Buildings, of the Quebec Construction Code and an amended version of the National Energy Code of Canada for Buildings (NECB) 2020 that highlights the changes adopted by Quebec. The document is a valuable tool for building designers, energy consultants and subcontractors, construction professionals and regulatory officials in Quebec. Changes incorporated into the 2020 edition maintain the same prescriptive requirements as the previous edition of Chapter I.1. This new edition introduces a requirement for maximum power demand during winter when the building energy performance compliance path is used. A new formula now considers the maximum power demand when calculating the annual energy needs of a proposed building. This addition enhances consistency with current electricity rates by factoring in winter electric input. Additionally, this edition reduces editorial discrepancies between the NECB and Chapter I.1, and harmonizes the editions of standards referenced in the NECB.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.051 | 0.021 |
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".