Cognition, Interaction, and Creativity in Songwriting Sessions: Advancing a Distributed Dual-Process Framework
Bibliographic record
Abstract
This article develops a microsociological framework of cognition, interaction, and creativity to identify group processes that alternatively facilitate automatic and deliberate cognitive processes in ways that drive the creative process forward. Analyzing interactions and cognitive processes by drawing on ethnographic observations and video recordings of 46 songwriting sessions, I find individuals sustain awareness of their collaborators’ cognitive processes and interact with others to, alternatively, sustain the automatic cognitive processes of their collaborators and compel them to be more deliberate. When new musical ideas provoke enthusiastic reactions among multiple members in a collaborative group, this moment of resonance can lead to “resonance in motion” if it is punctuated by a subsequent moment of resonance. The microsociological framework advanced in this article synthesizes sociological dual-process models with the distributed cognition framework to enhance future analysis and theorizing in sociology and social psychology on cognition, interaction, creativity, and cultural production.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".