Passion in Sport: A Look at Determinants and Affective Experiences
Bibliographic record
Abstract
Based on the Dualistic Model of Passion (Vallerand et al., 2003), a sequence involving the determinants and affective experiences associated with two types of passion (harmonious and obsessive) toward sport was proposed and tested. This sequence posits that high levels of sport valuation and an autonomous personality orientation lead to harmonious passion, whereas high levels of sport valuation and a controlled personality orientation facilitate obsessive passion. In turn, harmonious passion is expected to lead to positive affective experiences in sport but to be either negatively related or unrelated to negative affective experiences. Conversely, obsessive passion is hypothesized to be positively related to negative affective experiences in sport but to be either negatively related or unrelated to positive affective experiences. Results of three studies conducted with recreational and competitive athletes involved in individual and team sports provided support for the proposed integrative sequence. These findings support the role of passion in sport and pave the way to new research.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".