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Personality factors of moral conformity in solving moral dilemmas under virtual group pressure

2025· article· ru· W7117962982 on OpenAlexfundno aff
Igor V. Badiev

Bibliographic record

VenueRUDN Journal of Psychology and Pedagogics · 2025
Typearticle
Languageru
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsnot available
FundersMcGill University
KeywordsConformityPersonalityMoral dilemmaDilemmaPersonality psychologyBig Five personality traitsGroup (periodic table)

Abstract

fetched live from OpenAlex

The article presents the results of a study on personality factors of moral conformity in solving moral dilemmas under virtual group pressure. The author examined the relationship of personality traits and ethical positions with the solution of moral dilemmas both under virtual group pressure and without it. The study involved 242 university students (females = 74%, males = 26%). At the first stage, 223 respondents were asked to solve a series of ethical dilemmas and fill out personality questionnaires (the Big Five Inventory-2 (BFI-2) adapted by A.Yu. Kalugin et al., the Dirty Dozen Questionnaire adapted by T.V. Kornilova et al., and the Ethical Position Questionnaire (EPQ) adapted by A.A. Fedorov and I.V. Badiev). At the second stage, 66 respondents were asked to solve the same dilemmas, but they were shown how the other participants had solved them at the previous stage. Virtual group pressure was implemented by presenting the participants with pie charts indicating the percentages of “permissible” and “impermissible” responses to a given dilemma. For dilemmas that received the majority of “acceptable” responses at the first stage, it was indicated that the majority of responses were “unacceptable” and vice versa. At this stage, the Solomon four-group design was implemented with two experimental and two control groups. The study yielded data on the relationship of personality characteristics and ethical positions with the nature of moral dilemma decisions. The effect of moral conformity under virtual group pressure was confirmed. Three types of reactions to virtual pressure were identified: conforming, nonconforming, and counterconforming. Conforming responses were observed under virtual pressure both towards deontological and consequentialist decisions. Counterconforming responses showed asymmetry: no counterconforming reactions occurred under consequentialist virtual pressure; however, they were present under deontological virtual pressure. The study has not revealed any significant relationship between moral conformity and the personality traits or ethical positions of the respondents, which suggests that moral conformity is a universal phenomenon depending more on situational factors (such as the content of dilemmas and the form and direction of pressure) than on the respondent’s personality.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.307
GPT teacher head0.477
Teacher spread0.171 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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