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Record W2567638726 · doi:10.1002/job.2169

Workplace ostracism and deviant and helping behaviors: The moderating role of 360 degree feedback

2016· article· en· W2567638726 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

VenueJournal of Organizational Behavior · 2016
Typearticle
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsWestern University
Fundersnot available
KeywordsOstracismPsychologySocial psychologyDeviance (statistics)Interpersonal communicationWork motivationWork (physics)

Abstract

fetched live from OpenAlex

Summary Drawing on sociometer theory, we argue that when 360 degree feedback is used in a work setting, being ostracized by coworkers has a stronger negative influence on employees' state self‐esteem, which promotes interpersonal deviance and demotivates helping directed toward coworkers, as compared to settings in which 360 feedback is not used. We tested our hypotheses using data collected from North American employees (Study 1) and a two‐wave survey of employees in China (Study 2). Results from both studies support the hypothesized interaction between workplace ostracism and 360 degree feedback on interpersonal deviance and helping behavior. Results from Study 2 further show that lower state self‐esteem accounts for the stronger negative association of ostracism with helping behavior among employees who are exposed to 360 degree feedback. Ostracism is not related to subsequent state self‐esteem or behavior when 360 degree feedback is absent. We discuss the implications for theory and research concerning employee exclusion. Copyright © 2016 John Wiley & Sons, Ltd.

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)0.000
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 score0.246
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.019
GPT teacher head0.279
Teacher spread0.261 · 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