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Record W2575616201 · doi:10.7202/1038526ar

What’s Next after Psychological Contract Violation?

2017· article· en· W2575616201 on OpenAlexaffvenue
Sylvie Guerrero, Mickaël Naulleau

Bibliographic record

VenueRelations industrielles · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsGriefPsychological contractPsychicPsychologyAgency (philosophy)Perspective (graphical)Work (physics)Social psychologyProcess (computing)RestructuringEnergy (signal processing)Object (grammar)PsychotherapistBusinessSociologyFinanceMedicineComputer science

Abstract

fetched live from OpenAlex

This article adopts an in-depth clinical perspective based on the theoretical framework of grief in order to examine individuals’ reactions following psychological contract violation over a period of 12 months. By focusing on emotional intra-psychic phenomena our study provides evidence of the enduring effects of psychological contract violation on individuals and the employment relationship. We conducted a total of 60 interviews among 11 managers of a temporary employment agency that has implemented a series of organizational changes, mainly related to restructuring and downsizing decisions. The 11 managers interviewed have been chosen after having reported in a short survey that they experienced a psychological contract violation at work. Our results indicate that psychological contract violation triggers the subject into a grief process only when violation deprives the individual from a highly invested object at work. In these circumstances, the grief process lasts longer than we originally expected since, over 12 months, we were unable to observe the grief process in its entirety among our participants. We also find that the grief process may be accelerated or stopped according to the capacity of the organization and the individual to offer new objects that satisfy the individual’s needs and thus may help the person mourn the loss experienced as a result of the violation. Finally, our results show that the grief process deeply alters the employment relationship and modifies the amount and intensity of energy that the participants of our study devote to their work.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.091
GPT teacher head0.402
Teacher spread0.311 · 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

Citations12
Published2017
Admission routes2
Has abstractyes

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