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Record W2082158367 · doi:10.1121/1.4755213

Physics of music for musicians, architects, and science students: Designing a multi-level platform for an undergraduate course

2012· article· en· W2082158367 on OpenAlexaffabout
Robert G. Hall

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2012
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPresentation (obstetrics)Course (navigation)AttendanceMathematics educationComputer sciencePhysicsPsychologyAstronomyMedicine

Abstract

fetched live from OpenAlex

This presentation will describe the development of a new course in the Physics of Music at Laurentian University in Sudbury, Ontario. While the creation of the course was spurred on by the opening of a new School of Architecture in 2013 and the desire to provide an elective containing acoustics for that program, the project also has the added challenges of: developing a course that is available to music students (many of whom have little or no science background), creating a course that is an attractive elective for students across campus, initiating a course that meets the elective requirements for engineering students, and building a course that contains sufficient physics so that it may be cross-listed as a physics course. The presentation will outline the specifics of each of the required parameters and give specifics as to the multi-level project choices within the course that have been developed to allow the different student constituencies to satisfy their pedagogical needs. Also addressed will be the requisite teaching methods used to allow on-line participation, while still encouraging and requiring attendance at the weekly lectures.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.565
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.303
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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