Bibliographic record
Abstract
The Seven Colours of the Prism is a piano quintet inspired by the physical phenomena of light and colour, particularly the refraction and Tyndall effect observed through stained-glass windows in churches.The image of sunlight scattering prismatic hues across surfaces forms the core inspiration for this composition.The piano and strings serve as vessels for sound refraction, translating this visual experience into musical language.Each of the seven colours is manifested through distinctive harmonic, rhythmic, and timbral materials, shaped by my immediate emotional responses and associative imagery.By synthesizing personal perception with cultural connotations, the piece constructs an auditory prism that not only recreates light's chromatic transformations but, more importantly, enables listeners to "hear" the vibrant resonance of colours.First and foremost, I extend my profound appreciation to my supervisor, Nicole Lize, whose unwavering guidance, intellectual rigour, and boundless patience have shaped this work in countless ways.Her profound expertise and ability to navigate both technical precision and creative vision have been a constant source of inspiration.Nicole's mentorship not only refined my compositional practice but also instilled in me the confidence to explore unconventional ideas.This thesis would not exist without her insightful critiques, steadfast encouragement,
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".