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Record W4283331097 · doi:10.1177/00332941221109096

Nonjudgmental Regard of Others: Investigating the Links Between Other-Directed Trait Mindfulness and Prejudice

2022· article· en· W4283331097 on OpenAlexaff
Adelheid A. M. Nicol, Kalee De France

Bibliographic record

VenuePsychological Reports · 2022
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsRoyal Military College of CanadaRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsMindfulnessPsychologyPrejudice (legal term)TraitSocial dominance orientationSocial psychologyFacet (psychology)Ingroups and outgroupsPersonalityAuthoritarianismBig Five personality traitsConscientiousnessClinical psychologyPoliticsExtraversion and introversion

Abstract

fetched live from OpenAlex

Although researchers predict that experiencing greater trait mindfulness should be related to less prejudiced attitudes towards others, the evidence has been inconsistent. We suggest that this is due to the narrow operationalizations of mindfulness that have been utilized thus far. Specifically, research to date has relied solely on mindfulness as it pertains to the self. We therefore examined an expanded definition of mindfulness to study the role of nonjudgmental attitudes towards others and its relation with prejudice. Using a new measure of Nonjudgmental Regard towards Others (NRO), the current study found that Ideological Acceptance, or judgments of another's actions, ideas, and personality, and Emotion Acceptance, or acceptance of another's emotions and emotional expressions, were independently associated with prejudiced attitudes towards numerous different outgroups such as drug users, people who are overweight, homosexuals, and people with disabilities. Furthermore, they were able to explain variance over and above the Five Facet Mindfulness Questionnaire, Social Dominance Orientation and Right-Wing Authoritarianism. Having a nonjudgmental regard towards others, not just the self, may be an important component of mindfulness that has not yet been explored.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.000

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 head0.072
GPT teacher head0.356
Teacher spread0.284 · 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.

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

Citations7
Published2022
Admission routes1
Has abstractyes

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