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Record W2128217497 · doi:10.1037/a0033484

Fast food and financial impatience: A socioecological approach.

2013· article· en· W2128217497 on OpenAlexafffund
Sanford E. DeVoe, Julian House, Chen‐Bo Zhong

Bibliographic record

VenueJournal of Personality and Social Psychology · 2013
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDiscountingDelay discountingService (business)EconomicsPsychologyMarketingFinanceBusiness

Abstract

fetched live from OpenAlex

We investigated whether the prevalence of fast-food restaurants in the social ecology are associated with greater financial impatience at the national, neighborhood, and individual level. Study 1 shows that the proliferation of fast-food restaurants over the past 3 decades in the developed world was associated with a historic shift in financial impatience, as manifested in precipitously declining household savings rates. Study 2 finds that households saved less when living in neighborhoods with a higher concentration of fast-food restaurants relative to full-service restaurants. With a direct measure of individuals' delay discounting preferences, Study 3 confirms that a higher concentration of fast-food restaurants within one's neighborhood is associated with greater financial impatience. In line with a causal relationship, Study 4 reveals that recalling a recent fast-food, as opposed to full-service, dining experience at restaurants within the same neighborhood induced greater delay discounting, which was mediated behaviorally by how quickly participants completed the recall task itself. Finally, Study 5 demonstrates that pedestrians walking down the same urban street exhibited greater delay discounting in their choice of financial reward if they were surveyed in front of a fast-food restaurant, compared to a full-service restaurant. Collectively, these data indicate a link between the prevalence of fast food and financial impatience across multiple levels of analysis, and suggest the plausibility of fast food having a reinforcing effect on financial impatience. The present investigation highlights how the pervasiveness of organizational cues in the everyday social ecology can have a far-ranging influence.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.999

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 integrity0.0000.001
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 head0.103
GPT teacher head0.418
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 teacher head, not a consensus.

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

Citations62
Published2013
Admission routes2
Has abstractyes

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