Online teaching of acoustics to candidates for admission in audiology and speech-language pathology at the University of Ottawa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper aims to share the experiences gained by migrating a preparatory course in acoustics for candidates applying to the graduate program in audiology or speech-language pathology at the University of Ottawa to an online environment. The course is offered in the summer for those who have no prior training in physical acoustics, acoustic phonetics or instrumental techniques in linguistics. Knowledge of the basic concepts in acoustics, signal analysis and electroacoustic systems is necessary for mastering several clinical skills for both audiologists and speech-language pathologists. Delivering the course online became necessary to allow more students to meet the admission prerequisite in acoustics given the wide geographical distribution of newly admitted students in audiology and speech-language pathology across the country. Since 2009, the course has been offered completely online using distance education tools (e.g. Blackboard™) and the development of acoustics teaching and learning materials in French targeting the area of audiology and speech-language pathology. While significant efforts were required to implement the online course over a five-year period, the project has proven to be a great success.
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it