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Rejection Sensitivity Hurts Your Open Mind: Rejection Sensitivity and Wisdom in Workplace Conflicts

2020· article· en· W3046175194 on OpenAlexaff
Anna Dorfman, Harrison Oakes, Igor Grossmann

Bibliographic record

VenueAcademy of Management Proceedings · 2020
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHumilityCompromisePower (physics)Position (finance)PsychologySocial psychologyConflict resolutionSensitivity (control systems)SociologyPolitical scienceLawSocial scienceBusiness

Abstract

fetched live from OpenAlex

Six studies (N = 1,617) tested the role of dispositional rejection sensitivity (RS) and manipulated power position for wise reasoning among managers and subordinates in workplace conflicts: intellectual humility, consideration of change/multiple ways a situation may unfold, recognition of others’ perspectives, search for compromise/resolution, and outsider’s viewpoint. RS was systematically related to lower performance on each aspect of wise reasoning, above and beyond other threat-related individual differences. Effects of power position were modest and nuanced: Whereas low-(vs. high-) power position facilitated intellectual humility, consideration of change, and search for compromise, high- (vs. high-) power position facilitated consideration of others’ perspectives. We discuss implications for understanding the influence of rejection-related tendencies and power on reasoning processes in social conflicts.

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)0.006
metaresearch head score (Gemma)0.035
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 score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.057
GPT teacher head0.331
Teacher spread0.275 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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