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Record W3046486328 · doi:10.1037/pspi0000329

Act boldly: Important life decisions, courage, and the motivated pursuit of risk.

2020· article· en· W3046486328 on OpenAlexaff
David Gal, Derek D. Rucker

Bibliographic record

VenueJournal of Personality and Social Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsCouragePsychologySocial psychologyGoal pursuitMoral courageLaw

Abstract

fetched live from OpenAlex

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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.102
GPT teacher head0.368
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2020
Admission routes1
Has abstractyes

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