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Zeroing in on the Dark Side of the American Dream

2003· article· en· W2068467295 on OpenAlexfundno aff
Carol A. Nickerson, Norbert Schwarz, Ed Diener, Daniel Kahneman

Bibliographic record

VenuePsychological Science · 2003
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
FundersMcGill University
KeywordsPsychologyLife satisfactionDreamSample (material)Social psychologyFamily incomeSubjective well-beingDevelopmental psychologyFinanceHappiness

Abstract

fetched live from OpenAlex

Recent research has demonstrated that aspiring to the American Dream of financial success has negative consequences for various aspects of psychological well-being. The present longitudinal study examining the relation between the goal for financial success, attainment of that goal, and satisfaction with various life domains found that the negative impact of the goal for financial success on overall life satisfaction diminished as household income increased. The negative consequences of the goal for financial success seemed to be limited to those specific life domains that either concerned relationships with other people or involved income-producing activities, such as one's job; satisfactions with two of those life domains, however, were among the strongest predictors of overall life satisfaction in this sample of well-educated respondents in their late 30s. The negative consequences were particularly severe for the domain of family life; the stronger the goal for financial success, the lower the satisfaction with family life, regardless of household income.

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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.007
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.042
GPT teacher head0.376
Teacher spread0.334 · 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

Citations271
Published2003
Admission routes1
Has abstractyes

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