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Effet de la perception de justice organisationnelle des travailleurs au Niger sur leur satisfaction au travail

2020· article· fr· W3112962297 on OpenAlexaff
Mamadel Bassirou Issa, François Courcy

Bibliographic record

VenueREVUE AFRICAINE DE MANAGEMENT · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicGlobal and Cross-Cultural Management
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesEconomic JusticeProcedural justicePolitical scienceSocial psychologyEthnologySociologyPsychologyPerceptionPhilosophyLaw

Abstract

fetched live from OpenAlex

Résumé Cette étude explore le lien entre la perception de justice distributive, procédurale, interactionnelle et la satisfaction des travailleurs au Niger. Pour atteindre ce but, un questionnaire a été administré à un échantillon de 125 travailleurs de la ville de Niamey du secteur public, associatif et privé. Les résultats obtenus mettent en évidence un lien corrélationnel positif et significatif entre la satisfaction des travailleurs et les différentes dimensions de la justice organisationnelle. Par ailleurs, un effet de la justice interactionnelle sur la satisfaction des travailleurs ainsi que des effets tendanciels de la justice procédurale et de la justice distributive sur la satisfaction des agents permettent de considérer, avec la littérature sur la question, que les résultats de la présente étude contribuent à l’explication que la satisfaction des travailleurs peut dépendre de l’appréciation positive qu’ils auront de la justice organisationnelle.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.273
Teacher spread0.247 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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