Discover Congenital Amusia in Thailand
Bibliographic record
Abstract
This study was designed to screen for Thai-speaking individuals with the classic presentation of congenital amusia. Congenital amusia is an observed neurological phenomenon defined as an inability or difficulty of the brain to process and produce musical sounds. Individuals who have congenital amusia are unable to recognize or hum, sing, or whistle familiar songs, even if they have normal audiometry and above-average intellectual and memory skills. Congenital amusia is observed from birth and is not associated with a physical injury or damage to the brain. The study of congenital amusia reveals the methodology used for screening this neurological condition is a digitally form of the Montreal Battery of Evaluation of Amusia (MBEA), which has served as the standard prescribed method of assessment since its inception by Isabelle Peretz in the 2002 pilot study of amusia. Initial hypotheses suggested that due to the fine-pitch granularity of Thai tonal language, there would be a lower rate of discovery for congenital amusia in a Thai-speaking population than in the original English- and French-speaking sample populations. Preliminary results support the initial hypothesis by revealing no discoveries of congenital amusia in the small number of Thai-speaking population sample.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".