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Record W3156381385 · doi:10.1177/13684302211001944

My way or the highway: Narcissism and dysfunctional team conflict processes

2021· article· en· W3156381385 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGroup Processes & Intergroup Relations · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsWestern University
Fundersnot available
KeywordsAdmirationRivalryNarcissismPsychologySocial psychology

Abstract

fetched live from OpenAlex

Individuals higher in grandiose narcissism strive to create and maintain their inflated self-views through self-aggrandizing and other-derogating behaviors. Drawing from the dual-process model of narcissistic admiration and rivalry, we proposed that individuals higher in narcissism may contribute to more competitive and less cooperative conflict processes. We tracked over 100 project design teams from inception to dissolution, gathering data at three time points. We evaluated how team levels of narcissism (i.e., maximum team score, team mean, and team variance) related to latent team means of cooperative and competitive conflict processes. Team mean scores of narcissistic rivalry corresponded to less cooperative and more competitive team conflict processes as teams approached their final project deadline. Our results show how narcissistic rivalry (but not admiration) alters the types of team conflict processes that arise within groups, and is particularly consequential as teams approach major project deadlines.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.870
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.029
GPT teacher head0.286
Teacher spread0.257 · 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