Bibliographic record
Abstract
On a étudié la possibilité de créer des interférences destructives entre les ondes sonores transmises à travers un nouveau type d'écran ajouré, et les ondes diffractées par son sommet. Les mesures ont été effectuées au Centre des Maquettes du C. S. T. B. de Grenoble, laboratoire spécialement conçu et équipé pour la représentation des phénomènes acoustiques sur modèles réduits à petite échelle. Les résultats expérimentaux, confirmés par la théorie élaborée à 1 'Ecole Polytechnique de Montréal, montrent que l'on peut obtenir des effets d'inter férences intéressants aux basses fréquences, localisés autour de la ligne d'ombre formée par l'écran. Ce procédé est actuel lement en cours d'application en vue d'améliorer l'efficacité aux basses fréquences des écrans conventionnels. We studied the destructive interferences that could be created between the part of the normally incident soundwaves transmitted through a new type of "waveguide1 barrier and the one diffracted by it. Measurements were made at the C.S.T.B. Scale Modelling Center in Grenoble; this laboratory is special ly equipped for small scale models in the field of environmental acoustics. Our experimental results match well enough the theo retical predictions made in Ecole Polytechnique of Montréal, and show the existence of large interferences effect for low frequency noise and near the "shadow line " of the barrier. This property leads us to foresee an improvement over a classical barrier efficiency.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.293 | 0.147 |
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".