Bibliographic record
Abstract
President's Message Message du présidenthis December issue gives us an opportunity to review the many accomplishments of the Canadian Acoustical Association that took place over the past 12 months and which you will see highlighted on page 55 in the report from the AGM prepared by our Executive Secretary, Dr. Roberto Racca.It is also time to say a special thanks to the conference organizing team of the Acoustics Week in Canada that took place in Guelph (ON) from October 11 to 13, 2017.Thanks to the enthusiasm and professionalism of Peter VanDelden (RWDI), its convenor and Christian Giguère (U.Ottawa), its technical chair, this conference was a great success with regards to the number of participants, the number of exhibitors, the quality of the presentations and keynote lectures and even with regards to the number of people present at our Annual General Assembly!It was in fact during this general assembly that all existing members of the Board of directors were re-elected by acclamation.The roles were nonetheless reassigned making me the new president of the Canadian Acoustical Association and successor to Professor Frank Russo (Ryerson), who occupied the position brilliantly over the last 4 years and to whom I give special thanks.He is thus former president, replacing Professor Christian Giguère (U.Ottawa) whom I would like to sincerely thank for his huge involvement within our organization and for his professional rigor and sound advice.Let me take this opportunity to briefly present my intentions for this new presidency.I aim, with the support of our dedicated webmaster, Philipp Tsui (Wakefield Acoustics), to streamline our website, include more dynamic content and make it compatible with the mobile browsers that we so often use.I also aim, with the help of the Editorial board composed of Editor-in Chief, Professor Umberto Berardi (Ryerson), the publication manager, Dr. Cécile Le Cocq (ÉTS) and our new copyeditor, Dr. Olivier Valentin (ÉTS), to perform a major
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.252 | 0.176 |
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".