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Record W4393090071 · doi:10.1007/s10869-024-09943-w

The Dynamic Influence of Personality on Psychological Contract Evaluations: a 2-Study Investigation of Approach/Avoidance Goals and Emotion Regulation Strategies

2024· article· en· W4393090071 on OpenAlexafffund
Yannick Griep, Samantha D. Hansen, Johannes Marcelus Kraak

Bibliographic record

VenueJournal of Business and Psychology · 2024
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIndustrial and organizational psychologyPsychologyPsychological contractPersonalitySocial psychologyApplied psychologyCognitive psychology

Abstract

fetched live from OpenAlex

Abstract Consistent with recent developments, we question the validity of trait neuroticism (N) and conscientiousness (C) as antecedents of psychological contract breach (PCB) and violation feelings. We investigate how key mediating (i.e., approach/avoidance goals) and moderating (i.e., emotion regulation strategies) mechanisms of the personality-PCB relationship operate over time. In Study 1 (550 observations), state N or C was associated positively with PCB and state N was associated positively with violation feelings. In study 2 (394 observations), state N was positively related to momentary avoidance goals, which in turn were related negatively to PCB and related positively to violation feelings. Moreover, suppression moderated the latter relationship; as suppression increased, the relationship between avoidance goals and violation feelings grew stronger. In contrast, state C was related positively to approach goals, which in turn were related positively to PCB and negatively to violation feelings. We discuss implications for theory and practice.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.067
GPT teacher head0.408
Teacher spread0.341 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2024
Admission routes2
Has abstractyes

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