A Successful Creative Process: The Role of Passion and Emotions
Why this work is in the frame
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Bibliographic record
Abstract
The creative process refers a sequence of thoughts and actions leading to a novel, adaptive production (Lubart, 2000 Lubart, T. I. (2000). Models of creative process: Past, present, and future. Creativity Research Journal, 13, 295–308.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). It demands love, time, and devotion, and, therefore, creators are passionate toward their creative work. The Dualistic Model of Passion (Vallerand et al., 2003 Vallerand, R. J., Blanchard, C., Mageau, G. A., Koestner, R., Ratelle, C. F., Léonard, M., … Marsolais, J. (2003). Les passions de l'âme: On obsessive and harmonious passion. Journal of Personality and Social Psychology, 85, 756–767.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) defines passion as a strong inclination for a self-defining activity that people love and find important, and in which they invest a significant amount of time and energy. Two types of passion are proposed, where harmoniously passionate (HP) individuals engage in the passionate activity with free choice, and obsessively passionate (OP) individuals feel an uncontrollable urge to partake in the activity, leading to positive and negative consequences respectively. This research explored the role of emotions and passion during a successful creative process. Study 1 (N = 82) looked at positive emotions experienced by passionate artists at each phase of their creative process. Study 2 (N = 114) replicated Study 1 and also assessed negative emotions. Results revealed that positive emotions facilitate creativity and that moderate and high levels of activation of positive emotions serve different functions. Negative emotions were relatively absent of the successful creative process. Finally, HP artists presented an emotional experience that was more positive than OP artists.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it