Developing a literature-based glossary and taxonomy for the study of mental practice in music performance
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
Mental practice refers to the use of imagery as opposed to the physical or motor skills used in physical practice. It is a strategy frequently discussed with regard to the acquisition of skills required for music performance, and recent scientific literature confirms the benefits of mental practice. However, a review of that literature reveals inconsistencies and a lack of clarity in the use of terminology. To better understand this problem of terminology, 33 current studies on mental practice in music performance were assembled and examined for both the quantity and quality of term usage. Terms were identified and recorded using terminology and classification methods from Cabré (1999), and The Pavel, Terminology Tutorial. Terminological records were created for each term appearing more than once in the literature for a total of 83 records. Issues related to frequency of use (repetition), use of multiple terms (synonymy), lack of term definitions, and the need for clarity in term usage (semantic vagueness and ambiguity) were then analyzed using these records. This terminology process resulted in the creation of a glossary of 21 terms and a corresponding hierarchical taxonomy (tree diagram). These tools were developed to clarify the terminology of mental practice in music performance in order to provide a foundation for a more systematic use of the terminology in future research, as well as to assist with comprehension of the existing literature.
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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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 it