Something in the Way She Sings
Bibliographic record
Abstract
Across species, there is considerable evidence of preferential processing for biologically significant signals such as conspecific vocalizations and the calls of individual conspecifics. Surprisingly, music cognition in human listeners is typically studied with stimuli that are relatively low in biological significance, such as instrumental sounds. The present study explored the possibility that melodies might be remembered better when presented vocally rather than instrumentally. Adults listened to unfamiliar folk melodies, with some presented in familiar timbres (voice and piano) and others in less familiar timbres (banjo and marimba). They were subsequently tested on recognition of previously heard melodies intermixed with novel melodies. Melodies presented vocally were remembered better than those presented instrumentally even though they were liked less. Factors underlying the advantage for vocal melodies remain to be determined. In line with its biological significance, vocal music may evoke increased vigilance or arousal, which in turn may result in greater depth of processing and enhanced memory for musical details.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.014 |
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".