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Record W4296824341 · doi:10.21818/001c.38519

Reactions to Negative Feedback: The Role of Resiliency and Implications for Counterproductivity

2022· article· en· W4296824341 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 Behavioral and Applied Management · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsWestern UniversityUniversité de MontréalCegep Edouard Montpetit
Fundersnot available
KeywordsModerated mediationPsychologyAffect (linguistics)Social psychologyNegative feedbackMediationContext (archaeology)Political science

Abstract

fetched live from OpenAlex

We evaluated the effect of three self-regulatory processes on the relationship between affect and counterproductive workplace behaviour intentions (CWBi) in the context of employees receiving performance feedback using a moderated mediation approach. Using vignettes, participants were given job performance feedback and completed measures of affect, workplace resiliency, and CWBi. Using 292 employed participants, we found that two self-regulatory components of workplace resiliency moderated the relationship between feedback type and CWBi, as mediated by negative affect. This suggests that the more one engages in self-regulation, the less likely they are to engage in counterproductive workplace behaviours following an adverse workplace experience.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.826

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 studies0.0010.000
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 head0.058
GPT teacher head0.441
Teacher spread0.383 · 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