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Record W3209579224 · doi:10.1080/10615806.2021.1994556

Fear of the unknown as a mechanism of the inverse relation between life meaning and psychological distress

2021· article· en· W3209579224 on OpenAlexaff
Brian D. Ostafin, Inka Papenfuss, John Vervaeke

Bibliographic record

VenueAnxiety Stress & Coping · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyAnxietyMeaning (existential)DistressMediationRelation (database)Observational studyClinical psychologyDevelopmental psychologyPsychotherapistPsychiatryMedicine

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Although there is accumulating evidence for an inverse relation between life meaning and psychological distress, little is known about the mechanisms of this relation. Using cross-sectional, observational methods, this research examined fear of uncertainty as one potential mechanism. DESIGN AND METHODS: = 152) was completed with a sample prescreened for anxiety, a multidimensional measure of life meaning, and clinical measures of anxiety and depression. RESULTS: The results from both studies generally showed an inverse relation between life meaning and psychological distress. Study 2 further indicated that these relations were stronger for the meaning subscale of perceiving life as coherent/comprehensible than the subscales assessing whether participants' lives are perceived as purposeful or significant. Mediation analyses in both studies showed indirect effects of life meaning on psychological distress through fear of uncertainty. CONCLUSIONS: These findings support and extend previous research by showing that (i) meaning-as-comprehension may be particularly important in regards to psychological distress, and (ii) fear of uncertainty may mediate the inverse relation between meaning and measures of anxiety and depression.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.317
Teacher spread0.277 · 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

Citations17
Published2021
Admission routes1
Has abstractyes

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