Towards a Social Semiotic Approach of the Analysis of Emotion in Sound and Music
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper explores the possibility of a social semiotic approach to popular music in order to document the voice qualities, melodies and instrumental sounds found in popular music using the case study of Michael Jackson’s ‘Billie Jean’. The paper explores how these semiotic features, as well as the lyrics, communicate and reveal something of the subjectivity, the emotional world, created by musicians. Here the analysis explores Jackson’s use of restricted pitch ranges, breathiness, melodic patterns and gentle disjunctive articulation showing how these help to communicate the ‘tension’, and ‘trouble’ in the song. Taking a social semiotic approach the paper identifies the underlying available repertoire of meanings available to musicians and shows how musicians can skilfully draws upon these.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it