Classe techno "Bruit": Acoustic workshop for high school students at Université du Québec (ÉTS)
Bibliographic record
Abstract
"Classe Techno," is a science fair originating from the "24 heures des sciences" (www.sciences24heures.com) \nprovincial initiative, and has been organized annually or bi-annually since 2010 by the communication \nservices from École de technologie supérieure (ÉTS), an engineering school part of the Université du \nQuébec network. This event is designed for high school students coming from a variety of socioeconomic \norigins in the greater Montreal area and is designed as a full-day workshop with relevant \nand interactive hands-on experience for students in upper middle grades (K-8 to K-11). As part of \nthis event, the acoustic team of ÉTS offers a dedicated workshop animated by graduate students and \nresearchers within the well-equipped ICAR (icar.etsmtl.ca) acoustical research labs, on the topic of \nNoise ("Bruit" in French). The "Bruit" workshop exposes the students to a variety of key-concepts and \nlab experiments about mechanical and sound waves, noise and music. The 60-minutes long workshop \nis structured around 3 main activities: a) "What is sound?" b) "What makes sound musical?" and c) \n"When is it too loud?" and exposes students to several experiments, ranging from the measurement \nof frequency and magnitude of mechanical waves, to interference of waves, to sound synthesis and \nFourier analysis using a sound card, to the assembly and calibration of a sound level meter and to the \nproper use of hearing protection devices. This paper presents the workshop structure and details each of the activities. It provides insights on what worked since day one in 2010, what has been improved \nover the years and what could be done in the future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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 teacher head, 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".