Making People's Life Most Worth Living: On the Importance of Passion for Positive Psychology
Bibliographic record
Abstract
The purpose of the present paper is to present the Dualistic Model of Passion (Vallerand et al., 2003) and show its importance for positive psychology.Passion is defined as a strong inclination toward a self-defining activity that people like (or love), find important, and in which they invest time and energy.Furthermore, two types of passion (harmonious and obsessive) are proposed.Harmonious passion leads people to choose to engage in the activity that they love.Conversely, obsessive passion creates an internal pressure to engage in the beloved activity.Harmonious passion is hypothesized to lead to more adaptive outcomes than obsessive passion.Results of several studies reveal that passion matters with respect to a number of outcomes deemed important for positive psychology such as flow and positive emotions, psychological well-being, physical health, relationships, and performance.Passion can indeed make people's lives worth living to the extent that it is harmonious in nature. Key words : passion,
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".