The Effects of Mental Imagery and Cardiac Coherence on Mental Skills of Tunisian Karate Players at School Age
Bibliographic record
Abstract
The aim of our research consisted in checking the influence of the mental coaching using the mental imagery and relaxation based on cardiac coherence, on the improvement of the cognitive, emotional and behavioural reactions of the Tunisian karate Elite at school age. Our study was about to check if the Tunisian karate Elite at school age who had undergone a mental coaching has a better mental profile than their counterparts of other sporting disciplines and karate players with usual training method. Our sample consisted on an experimental group (N = 24 athletes) and control group (N = 22 athletes), all aged from 16 to 19 years. The experimental group followed for 10 months a psychological and mental coaching. The control group continued to train normally for the same period of time. To assess the mental skills of the participants, we used the OMSAT-3 (Guelmami et al., 2014). Our study showed that a 10 month mental coaching was needed to improve 4 mental skills, i.e. “goal setting” “relaxation”, “imagery” and “mental practices”. Our findings sustained the importance of a three-dimensional mental coaching in relation to one basic skill (goal setting), a psychosomatic skill (relaxation) and two cognitive skills (imagery and mental practice).
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".