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Record W2972558674 · doi:10.1111/apps.12222

How Do Job Insecurity and Organizational Justice Relate to Depressive Symptoms and Sleep Difficulties: A Multilevel Study on Immediate and Prolonged Effects in Swedish Workers

2019· article· en· W2972558674 on OpenAlexaff
Claudia Bernhard‐Oettel, Constanze Eib, Yannick Griep, Constanze Leineweber

Bibliographic record

VenueApplied Psychology · 2019
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Calgary
FundersForskningsrådet om Hälsa, Arbetsliv och VälfärdVetenskapsrådetRiksbankens JubileumsfondUniversity of Oxford
KeywordsProcedural justicePsychologyMultilevel modelEconomic JusticeSocial psychologyOrganizational justicePerceptionFeelingVariance (accounting)Developmental psychologyOrganizational commitmentPolitical science

Abstract

fetched live from OpenAlex

Drawing on stress and justice literature, we argue that perceptions of job insecurity induce feelings of low procedural justice, which has immediate and prolonged negative effects on health (depressive symptoms, sleep difficulties). Moreover, we explore whether the strength of the job insecurity–justice relationship differs between individuals as a function of their average level of job insecurity over time. Finally, we explore whether the procedural justice–health relationship differs between individuals as a function of variability in justice perceptions over time. We analyzed Swedish panel data from permanent workers over four consecutive waves (with a two‐year time lag between waves) using multilevel analysis, separating within‐ and between‐person variance. Results showed that job insecurity associated negatively with procedural justice at the same time point for all waves. Prolonged effects were less stable. We found immediate (but not prolonged) indirect effects of job insecurity on health outcomes via procedural justice. Average levels in job insecurity over time moderated the within‐person job insecurity–justice relationship. However, variability in procedural justice over time did not moderate the within‐person justice–health relationship. In conclusion, disentangling within‐ and between‐person variability of job insecurity and justice perceptions contributes to the understanding of health effects.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.017
GPT teacher head0.349
Teacher spread0.331 · 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

Citations26
Published2019
Admission routes1
Has abstractyes

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