Bibliographic record
Abstract
This report is the first part of a project to produce a modern design procedure for insulating buildings against aircraft noise. It is intended to be a comprehensive review of current knowledge on the sound insulation of buildings. It discusses what is known concerning the basic principles, measurement procedures and measurement results from previously published studies related to building sound insulation. It is intended that this will provide a basis for planning the next part of this project: to develop a new, up to date, more accurate and easier to use design procedure. Rcemment, le Conseil national de recherches du Canada a procd, pour le compte de Transports Canada [1, 2, 3], une tude sur le bruit mis par les aronefs au Canada. La porte de cette tude, quoique assez vaste, a permis d'identifier qu'il tait ncessaire d'amliorer les mthodes de calcul pour l'insonorisation des btiments contre le bruit mis par les aronefs. Les niveaux de bruit mis par les aronefs ont t considrablement rduits la source au cours des 30 dernires annes. Tous les efforts dploys mnent l'apparition de jets commerciaux chapitre 3 plus silencieux. Dans quelques annes, la transition ces avions moins bruyants sera termine et il ne devrait plus y avoir de grandes rductions du bruit la source. La solution la plus souvent recommande, aprs la rduction du bruit la source, pour diminuer l'impact ngatif du bruit mis par les avions dans les btiments situs proximit des aroports, est d'amliorer l'insonorisation des btiments. Au Canada, une mthode de calcul consacre a t utilise depuis le milieu des annes 70 [11]. Malheureusement, elle est maintenant en grande partie dpasse. Elle est fonde sur le spectre de types d'avions plus anciens et ne comprend pas de donnes sur l'insonorisation pour les types de constru...
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.818 | 0.747 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".