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Record W2083775976 · doi:10.3917/qdm.121.0041

Changement organisationnel et déterminants du stress : Etude exploratoire du stress perçu par les infirmiers de l'hôpital DS au Maroc

2012· article· fr· W2083775976 on OpenAlexaff
Widad Cherkaoui, Nathalie Montargot, Zahir Yanat

Bibliographic record

VenueQuestion(s) de management · 2012
Typearticle
Languagefr
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsEmployment and Social Development Canada
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Un système de soin performant répondant aux enjeux de santé publique tout en optimisant les dépenses est un enjeu partagé par de nombreux pays. Pour atteindre cet objectif, une remise à plat des systèmes de santé publique a conduit à des changements techniques, économiques, organisationnels et sanitaires. Cet article présente une étude sur la perception du stress des infirmiers dans un contexte de changement organisationnel. Le stress étant peu étudié dans le contexte marocain, nous avons choisi d’y situer notre étude. Dans un premier temps, avec la revue de littérature, plusieurs modèles théoriques explicatifs du stress sont présentés qui mettent en évidence que le changement organisationnel fait partie des sources de stress. Nous présentons une étude qualitative exploratoire conduite sur un échantillon de 25 infirmiers. Le corpus d’enquête traité au moyen du logiciel d’analyse de données textuelles Alceste met en évidence quatre classes d’énoncés représentatifs groupés autour de deux axes permettant des discussions. En conclusion, des pistes de recherche pertinentes dans le contexte hospitalier marocain seront envisagées.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.349
Teacher spread0.321 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2012
Admission routes1
Has abstractyes

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