Now Hear This: Auditory Sense may be an Undervalued Component of Effective Modeling and Imagery Interventions in Sport
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
One of the most important goals of behavioral research in sport psychology and motor learning is to increase our understanding of how to more effectively manipulate structural elements of psychological skills so as to optimize learning and performance. Imagery and modeling research have long-held parallel trajectories; advancements in the understanding of one construct has often informed subsequent research on the other. Preliminary research examining the effect of auditory modeling has indicated that deliberate manipulation of sounds employed during modeled actions can positively impact motor skill learning, performance, and consistency. The imagery research has yet to directly examine the auditory sense, and thus examination of this imagery component would represent a meaningful contribution to our understanding of how to further optimize athletes’ imagery practice. The current paper reviews current knowledge regarding effective imagery and modeling structure, and provides theoretical and evidence-based rationales for the examination of the auditory sense in imagery research.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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