Motivational patterns in persistent swimmers: A serial mediation analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.005 | 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 it