MétaCan
Menu
Back to cohort
Record W3132107317 · doi:10.1037/ocp0000205

Observer reactions to workplace mistreatment: It’s a matter of perspective.

2021· article· en· W3132107317 on OpenAlexafffund
Tara C. Reich, M. Sandy Hershcovis, Zhanna Lyubykh, Karen Niven, Sharon K. Parker, Chris Stride

Bibliographic record

VenueJournal of Occupational Health Psychology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPerspective (graphical)AttributionPsychologySocial psychologyBlamePsycINFOObserver (physics)Interpersonal communicationPerspective-takingSensemakingContext (archaeology)Industrial and organizational psychologyEmpathyPublic relationsPolitical science

Abstract

fetched live from OpenAlex

Workplace mistreatment regularly occurs in the presence of others (i.e., observers). The reactions of observers toward those involved in the mistreatment episode have wide-reaching implications. In the current set of studies, we draw on theories of perspective-taking to consider how this form of interpersonal sensemaking influences observer reactions toward those involved in a witnessed incident of workplace mistreatment. We find that observers' blame attributions and empathic concern for the individual whose perspective is taken explain the positive effects of perspective-taking on observer attitudes toward and performance evaluations of both the target and instigator of a witnessed incident of mistreatment. We also find that the effect of perspective-taking on observer reactions is stronger when the witnessed mistreatment is more severe. Finally, we find that although observer perspective-taking in the context of mistreatment can be encouraged, the effect seems to benefit instigators' performance evaluations rather than targets'. Implications for targets, instigators, and organizations are discussed. (PsycInfo Database Record (c) 2021 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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.000

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 head0.120
GPT teacher head0.499
Teacher spread0.378 · 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 teacher head, not a consensus.

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

Citations21
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Occupational Health PsychologySame topicWorkplace Violence and BullyingFrench-language works237,207