The impact of passion for exercising on the perception of well-being during periods of social isolation
Bibliographic record
Abstract
Abstract Objective of this study was to, based on a theoretical model, verify the associations between the variables passion, affect, satisfaction with life, and distress, the predictive power of the different types of passion on the perception of positive and negative affect, and the effect of this relation against the evaluation of psychological well-being and distress. Method Three hundred and fifty-nine participants aged between 18 and 70 years (M = 36.60; SD = 11.90) answered a sociodemographic questionnaire, and the Passion, Positive and Negative Affect Schedule, Satisfaction with Life, and the Kessler Psychological Distress Scales. Data were analyzed using correlation coefficients and structural equation modeling. Results The adequacy of the proposed model was estimated with satisfactory fit indices and positive relations between Harmonious Passion, Positive Affect, and Satisfaction with Life. Conclusion The results suggest that Harmonious Passion contributes to coping with suffering and negative experiences, such as those experienced in the pandemic moment.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 teacher head, 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".