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Record W3195029465 · doi:10.1177/19485506211023619

The Chicken and Egg of Pride and Social Rank

2021· article· en· W3195029465 on OpenAlexafffund
Zachary Witkower, Eric Mercadante, Jessica L. Tracy

Bibliographic record

VenueSocial Psychological and Personality Science · 2021
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPridePrestigePsychologyRank (graph theory)Social psychologyDominance (genetics)AttributionAntecedent (behavioral psychology)Longitudinal studyFacet (psychology)BiologyMathematicsStatisticsBig Five personality traitsCombinatoricsPersonality

Abstract

fetched live from OpenAlex

Prior research has found an association between pride experiences and social rank outcomes. However, the causal direction of this relationship remains unclear. The current research used a longitudinal design ( N = 1,653) to investigate whether pride experiences are likely to be a cause, consequence, or both, of social rank outcomes, by tracking changes in individuals’ pride and social rank over time. Prior research also has uncovered distinct correlational relationships between the two facets of pride, authentic and hubristic, and two forms of social rank, prestige and dominance, respectively. We therefore separately examined longitudinal relationships between each pride facet and each form of social rank. Results reveal distinct bidirectional relationships between authentic pride and prestige and hubristic pride and dominance, suggesting that specific kinds of pride experiences and specific forms of social rank are both an antecedent and a consequence of one another.

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)0.003
metaresearch head score (Gemma)0.026
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.101
GPT teacher head0.415
Teacher spread0.314 · 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

Citations22
Published2021
Admission routes2
Has abstractyes

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