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Record W2225574362 · doi:10.1177/1948550615623842

Valuing Time Over Money Is Associated With Greater Happiness

2016· article· en· W2225574362 on OpenAlex
Ashley V. Whillans, Aaron C. Weidman, Elizabeth W. Dunn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Psychological and Personality Science · 2016
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHappinessPsychologyFeelingSocial psychologyTime preferencePreferenceSample (material)Marital statusEconomicsDemographySociologyFinance

Abstract

fetched live from OpenAlex

How do the trade-offs that we make about two of our most valuable resources—time and money—shape happiness? While past research has documented the immediate consequences of thinking about time and money, research has not yet examined whether people’s general orientations to prioritize time over money are associated with greater happiness. In the current research, we develop the Resource Orientation Measure (ROM) to assess people’s stable preferences to prioritize time over money. Next, using data from students, adults recruited from the community, and a representative sample of employed Americans, we show that the ROM is associated with greater well-being. These findings could not be explained by materialism, material striving, current feelings of time or material affluence, or demographic characteristics such as income or marital status. Across six studies ( N = 4,690), we provide the first empirical evidence that prioritizing time over money is a stable preference related to greater subjective well-being.

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.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.055
GPT teacher head0.351
Teacher spread0.296 · 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