Guide des règles de l'art sur les coupe-feu et les pare-feu et leur effet sur la transmission acoustique
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it