Mesa redonda: " La investigación como proyecto de futuro": La Investigación sobre las aptitudes musicales
Bibliographic record
Abstract
The objective diagnosis of musical aptitudes began to be based on scientific bases in the first quarter of the current century. The aim was to measure aspects or variables fundamental to musical activity, such as tone or height of sounds, intensity or force, time or duration, as well as rhythm and tonal memory. Aspects not related precisely with aesthetic variables of "musical delight", nor with the question of whether the subject "likes" or not the music. Nor do they have anything to do with motor skills specifically required for various forms of instrumental interpretation.; El diagnóstico objetivo de las aptitudes musicales comenzó a asentarse sobre bases científicas en el primer cuarto del actual siglo. Se trataba de medir aspectos o variables fundamentales para la actividad musical, como el tono o altura de los sonidos, la intensidad o fuerza, el tiempo o duración, así como el ritmo y la memoria tonal. Aspectos no vinculados precisamente con variables estéticas del "deleite musical", ni con la cuestión de si al sujeto le "agrada" o no la música. Tampoco tienen nada que ver con las habilidades motoras específicamente requeridas para las diversas formas de interpretación instrumental.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| 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 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".