Unraveling the mystery of music: Music as an evolved group process.
Bibliographic record
Abstract
As prominently highlighted by Charles Darwin, music is one of the most mysterious aspects of human nature. Despite its ubiquitous presence across cultures and throughout recorded history, the reason humans respond emotionally to music remains unknown. Although many scientists and philosophers have offered hypotheses, there is little direct empirical evidence for any perspective. Here we address this issue, providing data which support the idea that music evolved in service of group living. Using 7 studies, we demonstrate that people's emotional responses to music are intricately tied to the other core social phenomena that bind us together into groups. In sum, this work establishes human musicality as a special form of social cognition and provides the first direct support for the hypothesis that music evolved as a tool of social living. In addition, the findings provide a reason for the intense psychological pull of music in modern life, suggesting that the pleasure we derive from listening to music results from its innate connection to the basic social drives that create our interconnected world.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".