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Record W4361001579 · doi:10.1037/pspa0000341

Seeing your life story as a Hero’s Journey increases meaning in life.

2023· article· en· W4361001579 on OpenAlexaff
Benjamin Alan Rogers, Herrison Chicas, John Kelly, Emily Kubin, Michael S. Christian, Frank Kachanoff, Jonah Berger, Curtis Puryear, Dan P. McAdams, Kurt Gray

Bibliographic record

VenueJournal of Personality and Social Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsWilfrid Laurier University
FundersCharles Koch Foundation
KeywordsHEROMythologyMeaning (existential)PsychologyTimelessAestheticsSocial psychologyLiteraturePsychoanalysisArtPsychotherapist

Abstract

fetched live from OpenAlex

). Eight studies reveal that the Hero's Journey predicts and can causally increase people's experience of meaning in life. We first distill the Hero's Journey into seven key elements-protagonist, shift, quest, allies, challenge, transformation, legacy-and then develop a new measure that assesses the perceived presence of the Hero's Journey narrative in people's life stories: the Hero's Journey Scale. Using this scale, we find a positive relationship between the Hero's Journey and meaning in life with both online participants (Studies 1-2) and older adults in a community sample (Study 3). We then develop a restorying intervention that leads people to see the events of their life as a Hero's Journey (Study 4). This intervention causally increases meaning in life (Study 5) by prompting people to reflect on important elements of their lives and connecting them into a coherent and compelling narrative (Study 6). This Hero's Journey restorying intervention also increases the extent to which people perceive meaning in an ambiguous grammar task (Study 7) and increases their resilience to life's challenges (Study 8). These results provide initial evidence that enduring cultural narratives like the Hero's Journey both reflect meaningful lives and can help to create them. (PsycInfo Database Record (c) 2023 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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.183
GPT teacher head0.419
Teacher spread0.236 · 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 designQualitative
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

Citations72
Published2023
Admission routes1
Has abstractyes

Explore more

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