Effectiveness of a Mindfulness-Based Skill Development Program on Elite Archers’ Mental Skills and Mindfulness Levels
Bibliographic record
Abstract
The aim of this study was to investigate the effectiveness of a mindfulness-based skill training program on elite archers’ mental skills and mindfulness levels. This study comprised 11 elite archers from the Rio Preparation Camp 2016, ranging in age from 16 to 25 years. Five of the participants were female and six were male. The design of this study was one-group pretest-posttest design and Wilcoxon signed rank test was used for analyzing the data. Mental ability of participants was measured using The Ottawa Mental Skills Assessment Tool-3 and the Five Facets Mindfulness Questionnaire measured the mindfulness levels of the elite archers. The program upon which the study was conducted was an 8-week mindfulness-based skill training program, presented in 90 minute sessions. This study found that, in terms of mental skills, elite archers’ scores in refocusing, competition planning, activation, and relaxation significantly increased on completion of the program. According to the findings that there was also a significant increase in archers’ scores in four subscales of mindfulness: observe, acting with awareness, describe, and nonreactivity to inner experience. These results indicate that an 8-week mindfulness-based skill training program contribute to improvements in elite athletes’ mental skills and mindfulness. On completion of the program, participants experienced increased energy levels, were more focused on competition planning and found it easier to refocus.
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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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 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 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".