A Buffering Effect of Mental Toughness on the Negative Impact of Basic Psychological Need Thwarting on Positive Youth Athlete Functioning
Bibliographic record
Abstract
Basic psychological needs (BPN) are a construct that helps clarify the psychological mechanism to reach desirable outcomes for youth athletes. When BPN are undermined, people should be less likely to thrive. As mental toughness (MT) can reduce the negative effects of stressors, MT may buffer the negative effects of maladaptive motivation. This study investigated the mediating role of thriving on the relationships between BPN thwarting and important outcomes for youth athletes’ positive functioning. It also examined the buffering effects of MT. One hundred eighty-eight Canadian youth athletes (Mage = 15.51) answered an online survey. The results demonstrated that thriving was a significant mediator, and the indirect relationships were moderated by MT. The indirect associations were nonsignificant for youth with high MT. The findings demonstrated that MT might decrease the negative impacts of BPN thwarting on thriving and important outcomes for young athletes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".