MétaCan
Menu
Back to cohort

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.026
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueREVUE AFRICAINE DE MANAGEMENTSame topicGlobal and Cross-Cultural ManagementFrench-language works237,207