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Record W1889403211 · doi:10.1080/00224545.2015.1047438

Seeing and Being Green? The Effect of Money Priming on Willingness to Perform Sustainable Actions, Social Connectedness, and Prosociality

2015· review· en· W1889403211 on OpenAlexaff
Colin A. Capaldi, John M. Zelenski

Bibliographic record

VenueThe Journal of Social Psychology · 2015
Typereview
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsCarleton University
Fundersnot available
KeywordsPriming (agriculture)Prosocial behaviorSocial connectednessSocial psychologyAltruism (biology)PsychologyInterpersonal communicationBiology

Abstract

fetched live from OpenAlex

This investigation attempted to conceptually replicate/extend research that suggests that reminders of money can inhibit prosociality, promote self-sufficiency, and influence political beliefs. Based on these results, we hypothesized that money primes would decrease willingness to engage in sustainable actions. We also predicted that people would distribute points less prosocially and feel less socially connected when money was primed. Individuals were recruited from an undergraduate participant pool and MTurk. Meta-analytic results across the two samples revealed that money priming did not have a significant impact on willingness to act sustainably, but it did cause participants to distribute points less prosocially and report lower social connectedness than individuals in the control condition. While effects were smaller than those reported in Vohs, Mead, and Goode (2006), this study still offers support for the detrimental impact of reminders of money on interpersonal relations.

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)0.004
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.388
Teacher spread0.353 · 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 designOther design
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

Citations23
Published2015
Admission routes1
Has abstractyes

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