Reply to Repp's (2012) Commentary on “The Effects of Stimulus Rate and Tapping Rate on Tapping Performance”
Bibliographic record
Abstract
Article Commentary| April 01 2012 Reply to Repp's (2012) Commentary on “The Effects of Stimulus Rate and Tapping Rate on Tapping Performance” Benjamin Rich Zendel, Benjamin Rich Zendel Université de Montréal, Montreal, Quebec, Canada Benjamin Rich Zendel, BRAMS - Suite 0-120, Pavillon 1420 boul. Mont Royal, Université de Montréal, C.P. 6128 - Station Centreville, Montreal (QC) H3C 3J7. e-mail: benjamin.rich.zendel@umontreal.ca Search for other works by this author on: This Site PubMed Google Scholar Bernhard Ross, Bernhard Ross Rotman Research Institute, Toronto, Ontario, Canada Search for other works by this author on: This Site PubMed Google Scholar Takako Fujioka Takako Fujioka Rotman Research Institute, Toronto, Ontario, Canada Search for other works by this author on: This Site PubMed Google Scholar Benjamin Rich Zendel, BRAMS - Suite 0-120, Pavillon 1420 boul. Mont Royal, Université de Montréal, C.P. 6128 - Station Centreville, Montreal (QC) H3C 3J7. e-mail: benjamin.rich.zendel@umontreal.ca Music Perception (2012) 29 (4): 449–450. https://doi.org/10.1525/mp.2012.29.4.449 Article history Received: November 29 2011 Accepted: December 29 2011 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Benjamin Rich Zendel, Bernhard Ross, Takako Fujioka; Reply to Repp's (2012) Commentary on “The Effects of Stimulus Rate and Tapping Rate on Tapping Performance”. Music Perception 1 April 2012; 29 (4): 449–450. doi: https://doi.org/10.1525/mp.2012.29.4.449 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentMusic Perception Search This content is only available via PDF. © 2012 by The Regents of the University of California2012 Article PDF first page preview Close Modal You do not currently have access to this content.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".