The gravitational pull of expressing passion: When and how expressing passion elicits status conferral and support from others
Bibliographic record
Abstract
Prior research attributes the positive effects of passion on professional success to intrapersonal characteristics. We propose that interpersonal processes are also critical because observers confer status on and support those who express passion. These interpersonal benefits of expressing passion are, however, contingent on several factors related to the expresser, perceiver, and context. Six studies, including entrepreneurial pitches from Dragons’ Den and two pre-registered experiments, establish three key findings. First, observers conferred status onto and increased their support for individuals who express passion; importantly, expressing passion affected how admired—but not how accepted—someone was. Second, these effects were weaker when passion was expressed in an inappropriate manner/context, and when observers disagreed with the target of expresser’s passion. Third, in competitive contexts, expressing passion became threatening and decreased the support individuals received from others. These results demonstrate that passion’s effects travel, in part, through the gravitational pull exerted by expressing 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".