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
BACKGROUND/AIMS: Both music and language impose constraints on fundamental frequency (F0) in sung music. Composers are known to set words of tone languages to music in a way that reflects tone height but fails to include tone contour. This study tests whether choral singers add linguistic tone contour information to an unfamiliar song by examining whether Cantonese singers make use of microtonal variation. METHODS: 12 native Cantonese-speaking non-professional choral singers learned and sang a novel song in Cantonese which included a minimal set of the Cantonese tones to probe whether everyday singers add in missing contour information. RESULTS: Cantonese singers add in a rising F0 contour of less than a semitone when singing syllables with lexical rising tones. This microtonal variation is not observed when singing in a lower register. CONCLUSION: Cantonese singers use microtonal contours to reflect rising contours of Cantonese linguistic tones.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.009 | 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 it