Motivational patterns in persistent swimmers: A serial mediation analysis
Bibliographic record
Abstract
Abstract Objective: The main objective of the present study was to examine the associations between coach‐created task‐involving climate and athletes’ intentions to continue practicing sport, through a serial mediation analysis that included basic psychological needs satisfaction (BPN), self‐determined motivation (SDM) and enjoyment. Methods: Seven‐hundred and ninety‐nine elite swimmers (450 males, 349 females; aged 12–22 years, M = 16.65, SD = 2.83) participated in the present study. Groups were created according to age, years of experience, and gender. Results: Serial mediation analysis provided support for the proposed model where BPN's and enjoyment represent the most important mediators between task‐involving climate and athletes’ intentions to continue sport practice. Conclusion: Enjoyment stands out as the most relevant predictor of intention to persist and as a significant mediator in the relation between task‐involvement climate, BPN, SDM, and long‐term sports practice. The task‐involving climate created by coaches appears to set in motion a sequence where the satisfaction of basic needs and SDM lead to more enjoyment and increased persistence among 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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".