The Hendrix chord: blues, flexible pitch relationships, and self-standing harmony
Bibliographic record
Abstract
Abstract Jimi Hendrix was often characterised by his exotic appearance and extravagant performance, but underneath these trappings was an extraordinary guitarist who managed to transform some of the key elements of blues and rhythm-and-blues traditions. An important feature of Hendrix’s music is his characteristic use of the seventh chord with a sharp ninth, or the augmented ninth chord, now often referred to as the ‘Hendrix chord’. This paper examines some ways in which Hendrix used this chord by surveying and drawing comparisons between various instances. It is not necessarily the fully voiced version of the chord that Hendrix used, but interval combinations drawn from or related to it, with particular timbres and articulations. Together these define what might be called a ‘sharp ninth sound’. Through register placement, timbre, articulation, and chordal function, it is intimately tied to the blues idiom, adding a blues tonal element. This is one aspect of Hendrix’s music, then, that shows his deep roots in the blues.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".