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Record W2941328750 · doi:10.1037/xge0000608

Collectives in organizations appear less morally motivated than individuals.

2019· article· en· W2941328750 on OpenAlexaff
Arthur S. Jago, Tamar A. Kreps, Kristin Laurin

Bibliographic record

VenueJournal of Experimental Psychology General · 2019
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsConvictionParagraphNoticeVariety (cybernetics)PsychologySociologySocial psychologyPolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

on Oct 24 2019 (see record 2019-63657-001). In the article "Collectives in Organizations Appear Less Morally Motivated Than Individuals" by Arthur S. Jago, Tamar A. Kreps, and Kristin Laurin, the second affiliation of the first author was omitted from the byline and author note. The byline should appear instead as University of Southern California and University of Washington-Tacoma. The first paragraph of the author note should appear instead as Arthur S. Jago, Department of Management and Organization, University of Southern California, and Milgard School of Business, University of Washington-Tacoma. The third paragraph of the author note should appear instead as the following: Correspondence concerning this article should be addressed to Arthur S. Jago, Milgard School of Business, University of Washington - Tacoma, 1900 Commerce Street DOU 306, Tacoma, WA 98402. Email: ajago@uw.edu] Organizations often benefit from signaling moral values. Across 5 studies, we explore how people attribute moral conviction to different organizational agents. We find that people believe collectives (e.g., groups; entire organizations) have less moral conviction than individuals, even when both agents behave identically (Studies 1 and 2). We test a variety of potential mechanisms for this effect, and find evidence for two parallel pathways: first, people believe collectives have less of a capacity for emotional experience, and therefore are less likely to use emotions when making decisions; and second, people believe collectives are also more self-interested, and therefore more likely to behave out of concern for their reputations rather than morality (Study 3). In examining boundary conditions for this effect, we find that it occurs when people judge generic for-profit companies and government entities, but not family businesses or charities (Study 4). Finally, we demonstrate that, because collectives appear less morally motivated than individuals, people also assume collectives will exhibit less persistence after enacting prosocial initiatives (Study 5). We discuss theoretical, practical, and social implications of these differing attributions of moral conviction. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.333
Teacher spread0.265 · 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 designBench or experimental
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

Citations12
Published2019
Admission routes1
Has abstractyes

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