Self-Modeling and Competitive Beam Performance Enhancement Examined Within a Self-Regulation Perspective
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
The observation of oneself on video that has been edited to show a performance level higher than one can actually perform is a feedforward form of modeling, termed self-modeling (SM; Dowrick, 1999 Dowrick, P. W. 1999. A review of self-modeling and related interventions. Applied and Preventive Psychology, 8: 23–29. [Crossref], [Web of Science ®] , [Google Scholar]). In this research, gymnasts alternated between viewing and not viewing a SM video during their competitive season. Results showed that gymnasts attained significantly higher beam scores when they viewed the video versus when they did not. No differences in self-efficacy were observed using a quantitative measure; however, a qualitative analysis of interviews based on Zimmerman's (2000) Ram, N. and McCullagh, P. 2003. Self-modeling: Influences on psychological responses and physical performance. The Sport Psychologist, 17(2): 220–241. [Crossref] , [Google Scholar] model, indicated that a number of self-regulatory processes, including self-efficacy, were employed.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it