Act boldly: Important life decisions, courage, and the motivated pursuit of risk.
Bibliographic record
Abstract
How do people respond to risk in important life decisions? For example, when presented with the opportunity to leave one's job to start a business-a risky proposition for most-or to stay put-often a safer course of action-what do people choose? The current work explores the idea that important life decisions offer people the opportunity to display a highly valued psychological characteristic: courage. Specifically, important life decisions often combine the critical preconditions for a risky choice to be viewed as courageous-fear, purpose, agency, and the availability of risky options with an appropriate risk/reward tradeoff. Because of this combination of features, to the extent people desire to be courageous, they are motivated to choose risky options in important life decisions. The present perspective offers a counterpoint to prior work on decision making that assumes individuals are generally risk averse. Seven primary and 2 supplemental studies provide evidence in support of this perspective. Implications for understanding decision making in important decisions, the value of courage, and the motivated pursuit of risk are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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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 | 0.002 | 0.010 |
| 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 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".