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Record W4403099485 · doi:10.1037/apl0001244

Workplace aggression and employee performance: A meta-analytic investigation of mediating mechanisms and cultural contingencies.

2024· review· en· W4403099485 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 Applied Psychology · 2024
Typereview
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsUniversity of British ColumbiaSimon Fraser University
Fundersnot available
KeywordsPsychologyAggressionMeta-analysisSocial psychologyJob performanceOrganizational behaviorApplied psychologyJob satisfaction

Abstract

fetched live from OpenAlex

= 149,341 participants), we reveal the incremental effects of the five mechanisms, compare their relative strengths for each performance outcome, and examine their cultural contingencies. We find that when the five mechanisms are examined simultaneously, only relationship quality and state self-evaluation show incremental effects across all performance outcomes in the predicted direction. Moreover, the comparative strengths of mechanisms vary across performance outcomes: The impact of workplace aggression on task performance is best explained by the negative affect and state self-evaluation mechanisms, its impact on citizenship behavior is best explained by the relationship quality mechanism, and its impact on deviant behavior is best explained by the negative affect mechanism. Finally, the prominence of some mechanisms is contingent on certain cultural dimensions: The relationship quality mechanism is strengthened by individualism and masculinity, while the state self-evaluation mechanism is strengthened by masculinity. We conclude with a discussion of the theoretical and practical implications of our research. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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)0.003
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.127
GPT teacher head0.415
Teacher spread0.287 · 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