Stage acoustics, further development of parameter LQ7-40
Bibliographic record
Abstract
Since a few years a lot of research focussed for better understanding the acoustics on a stage of a concert hall for symphonic music with respect to the ease of playing ensemble and the way the conductor hears the orchestra. As a result of a study in Danish Concert halls dr A. Gade developed the Early and Late Support. These parameters seem very valid with respect of the musicians hearing themselves. To better understand the way musicians hear each other the LQ7-40 has been proposed, a parameter which compares the very early reflections with the late early and late reverberant sound. Measurements on a grid of source and receiver positions show how the sound energy is transferred over the stage from one musician to the other. In 10 concert halls these measurements have been carried out. For 7 Dutch halls the results of LQ7-40 have been presented at Internoise in Ottawa. The study with respect to these parameters is extended to different time windows. In this paper the results of this study will be presented. The benefit of the parameter to chart and fine tune the acoustics of a stage and orchestra pit will be elucidated as well as a proposal for the best time window to take into account.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".