Guide des règles de l'art sur les coupe-feu et les pare-feu et leur effet sur la transmission acoustique
Bibliographic record
Abstract
This Best Practice Guide presents a broad-based consensus on technical solutions relating to the fire resistance and sound transmission aspects of fire stops and fire blocks for those who manufacture, design, specify, install and inspect these systems. The Guide was developed through collaboration of many organizations in the Special Interest Group on Suitable Acoustic and Fire Stop Technologies (SIG-SAFT).The Guide primarily addresses fire stops and fire blocks in the context of Canadian codes and standards. Requirements for fire stops and fire blocks in the National Building Code of Canada (NBCC) are conceptually similar to those in U.S. codes but significant differences between Canadian and American codes, standards, and terminology are identified. The Guide also identifies differences from the NBCC that have been approved in provincial building codes. The Best Practice Guide is not intended for use as a code document. While the Guide makes extensive reference to the NBCC as the source of requirements for fire stops and fire blocks in Canada, there are situations where best practice may require features beyond the NBCC requirements. These are addressed in many examples in Chapters 7 through 13, which illustrate good practice for fire stops at junctions and penetrations (plumbing, electrical, ventilation), combined with guidance on the corresponding acoustical issues such as noise leaks, plumbing noise, and structure-borne sound transmission. The authority having jurisdiction would decide on acceptance of such solutions, but it is hoped that the Guide will promote more informed and consistent practice across Canada for fire stops and fire blocks.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.088 | 0.074 |
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".