Bibliographic record
Abstract
Research Article| April 01 2023 Sandra Trehub (1938–2023) E. Glenn Schellenberg, E. Glenn Schellenberg Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal Search for other works by this author on: This Site PubMed Google Scholar Laurel J. Trainor Laurel J. Trainor McMaster University, Hamilton, Canada Search for other works by this author on: This Site PubMed Google Scholar Music Perception (2023) 40 (4): 347–349. https://doi.org/10.1525/mp.2023.40.4.347 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation E. Glenn Schellenberg, Laurel J. Trainor; Sandra Trehub (1938–2023). Music Perception 1 April 2023; 40 (4): 347–349. doi: https://doi.org/10.1525/mp.2023.40.4.347 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 We are greatly saddened by the passing of Sandra Trehub. Born in 1938, she died peacefully at her home on January 20, 2023. Sandra was a trailblazer. Her research focusing on auditory pattern perception in infancy and early childhood single-handedly started developmental research in music perception and cognition. Her experimental studies documented that infants have basic skills that form the building blocks for remembering and responding emotionally to music, including the capability to perceive and categorize auditory sequences on the basis of pitch, upward or downward changes in pitch, and rhythm. Her research also established that singing to infants is a universal behavior, which ultimately facilitates language acquisition and bonding with caregivers. A fellow of the Association for Psychological Science and the British Psychological Society, Sandra was awarded many honors, including a Lifetime Achievement Award from the Society for Music Perception and Cognition and the Kurt Koffka Medal from the... You do not currently have access to this content.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.734 | 0.643 |
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".