The effect of basic psychological needs satisfaction on intrinsic regulation is moderated by hedonic and eudaimonic motives: a longitudinal investigation among youth athletes in Japan
Bibliographic record
Abstract
Abstract The current study was conducted to examine the interactive effects of basic psychological needs satisfaction (BPNS), hedonic and eudaimonic motives on intrinsic regulation. To assess the causal relationship, two-wave time-lagged data collection was employed. A total of 159 youth athletes in Japan participated in online surveys twice (three-month time lag between two data points). The results indicated that the effect of BPNS on intrinsic regulation was moderated by hedonic and eudaimonic motives. Interestingly, BPNS negatively affected intrinsic regulation among youth athletes with low hedonic motives. This negative impact was further augmented when the level of eudaimonic motives was higher. Conversely, BPNS positively influenced intrinsic regulation among youth athletes with high hedonic motives. This positive impact of BPNS was more prominent when eudaimonic motives were lower. Overall, the findings suggest that when intrinsic regulation is the central concern, youth athletes should focus more on seeking enjoyment while putting self-development aside to maximize the positive impact of BPNS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".