Exploring Sonic Meaning and Embodiment in Human Cultural Transmission From a Pedagogical Perspective
Bibliographic record
Abstract
The authors explore how sonic materials, specifically everyday sounds and songs, create and communicate personal, sociocultural, and ecological meanings. From the lulling passages of a pastoral movement streaming through a symphony hall to the rollicking screams at stadium concerts to the roaring rhetoric and social distortions of divisive political-speak, sound and music signal frequencies and frictions at play in the human experience. Literacies are cultivated, sounds embodied, and ways of sensing, knowing, and being in the world are sonically communicated and established. What happens when sounds encountered in one’s everyday experience are excavated, sampled, and remixed?. What new meanings may be derived? What old meanings might be challenged and reconstituted and reconstructed into new forms of knowing and being? What happens when songs or timeless tunes are analyzed and detangled from their ordinary meanings? How might listeners make the familiar strange and thus renew knowings? And what does any of this mean for the flux and firmness of human cultures in motion?
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.032 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".