Betraying passion: Harmonious passion, obsessive passion, and attitudes following counter-attitudinal advocacy
Bibliographic record
Abstract
This research tested if attitude change following counter-attitudinal advocacy (a) applies when people endorse positions that conflict with a passionate activity, and (b) depends on levels of harmonious passion (HP) and obsessive passion (OP; Vallerand, 2015). Undergraduates (N = 81) who were passionate about various sport/exercise activities were either asked (high-choice condition) or required (low-choice condition) to oppose the construction of a new recreational facility on campus. Participants in the high-choice condition reported lower levels of passion for their passionate activity and less support for the recreational facility compared to those in the low-choice condition. However, decreases in passion were only evident when passion involved high levels of OP and low levels of HP, whereas decreases in support for the recreational facility were only evident when passion involved high levels of both OP and HP. These results contribute to our understanding of how passion dimensions combine to predict self-protective responses.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".