Implementing ISO 12354-2 for building codes: the Canadian perspective
Bibliographic record
Abstract
To support a potential introduction of an impact sound requirement into the National Building Code of Canada, the National Research Council of Canada has initiated several research projects.For one of these projects, an industrysponsored consortium has been formed with the goal of providing supporting documents and online tools to help building designers incorporate impact sound requirements into their work.One of the deliverables of the synergy between the NRC and the industry group will be a guide document which will follow in the footsteps of the highly successful research report, RR-331 The Guide, soon to be released its sixth edition.The guide will provide easy to understand guidance and explanations on how to combine direct and flanking sound transmission, in this case for impact sound.The Impact Guide will use the method presented in ISO 12354-2 along with a lexicon to translate the ISO metrics into the ASTM metrics commonly used in North America.This paper provides an overview of the work to create the impact sound guide document, how the implementation of ISO 12354-2 will be achieved using ASTM standards, and what the future plans for the project are.
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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 | 0.030 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.016 | 0.012 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".