Mesures de l'isolation acoustique d'une habitation à ossature de bois soumise au bruit d'aéronefs
Bibliographic record
Abstract
This report compares measurements of the sound insulation of various constructions of a test house, exposed to aircraft noise at Ottawa Airport, with predictions from laboratory measurements of the same constructions. Further analyses investigated the major sources of the differences between laboratory and field measurements and corrections were developed for the IBANA-Calc sound insulation software. Source spectrum shapes for modern aircraft types were also developed for this software. The Ottawa Airport Test Structure (OATS) was a simple wood frame structure, representative of typical Canadian construction techniques, with two main rooms exposed to the noise from passing aircraft. The construction was systematically changed to include differences in wall and ceiling constructions, the addition of windows, and also the addition of various vents. In some tests, additional masking walls were added inside each room to simplify the situation so that sound transmission was predominantly through one of the outside walls. For each construction, the noise of departing aircraft was recorded outside in the free field and at the building façade as well as inside at 3 positions in each of the 2 test rooms.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".