MétaCan
Menu
Back to cohort
Record W1479811770 · doi:10.1111/jasp.12333

Economic threat undermines the satisfaction of psychological needs for competence and autonomy

2015· article· en· W1479811770 on OpenAlexaffabout
Darcy R. Dupuis, Ian R. Newby‐Clark

Bibliographic record

VenueJournal of Applied Social Psychology · 2015
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsUniversity of GuelphCarleton University
Fundersnot available
KeywordsAutonomyPsychologyCompetence (human resources)FeelingSocial psychologyFutures contractSelf-determination theoryEconomicsPolitical scienceFinance

Abstract

fetched live from OpenAlex

Abstract During times of macroeconomic instability, the prospect of personal financial deficiency becomes a pervasive concern. This research examined the psychological consequences of contemplating threatening economic futures. In two experiments, we tested whether economic threat undermined the satisfaction of the basic psychological needs for competence and autonomy. In Experiment 1, Canadian university students primed with an economic threat (compared with a threat‐neutral topic) reported feeling less competent and autonomous. In Experiment 2, American adults primed with an economic threat reported less competence and autonomy compared to both those primed with (a) a noneconomic threat and (b) a threat‐neutral topic. Participants under economic threat also reported lower well‐being compared with threat‐neutral participants. This effect was mediated by self‐perceived competence and autonomy.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.085
GPT teacher head0.400
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), 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

Citations19
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Applied Social PsychologySame topicPsychological Well-being and Life SatisfactionFrench-language works237,207