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Record W2106657404 · doi:10.1111/ncmr.12041

When Should We Disagree? The Effect of Relationship Conflict on Team Identity in East Asian and North American Teams

2014· article· en· W2106657404 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

VenueNegotiation and Conflict Management Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsWilfrid Laurier UniversityUniversity of Waterloo
Fundersnot available
KeywordsEast AsiaIdentity (music)Conflict managementSocial psychologyPsychologyHomogeneousAsian americansSociologyPolitical scienceAnthropologyChinaSocial scienceEthnic group

Abstract

fetched live from OpenAlex

Abstract Along with recent research uncovering distinctly Asian approaches to conflict management, we examine the experience and effect of relationship conflict on team identity in culturally homogeneous North American versus East Asian teams. In a longitudinal field experiment with student teams, we found that East Asian teams, compared to North American teams, experienced more relationship conflict at later stages of team tenure. We further found that, while relationship conflict undermined team identity in North American teams, relationship conflict did not influence team identity in East Asian teams. Our study counterintuitively finds that East Asian teams may be less influenced by relationship conflict than North American teams, despite their relationship maintenance orientation. We present several possible future avenues to unpack the psychological mechanisms underlying the distinct temporal patterns and outcome effects of relationship conflict in East Asian teams and implications for cross‐cultural East Asian and North American teams.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.177
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.076
GPT teacher head0.386
Teacher spread0.310 · 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