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Record W3160760740 · doi:10.3917/rmi.203.0013

Mobilité des salariés et performance des entreprises du secteur public en Afrique francophone : une analyse du cas de la CAMWATER au Cameroun

2021· article· fr· W3160760740 on OpenAlexaff
Félix Zogning, Mireille Bityé Mendomo, Jean Sylvain Mgba

Bibliographic record

VenueRevue Management & Innovation · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicGlobal and Cross-Cultural Management
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsPolitical scienceHumanitiesFrenchArt

Abstract

fetched live from OpenAlex

L’article traite des enjeux de la mobilité des employés sur la performance des entreprises publiques en Afrique, avec le cas précis de la CAMWATER. Suivant une approche qualitative, les données proviennent des sources documentaires et de terrain. Les résultats issus des analyses manuelle et automatisée de contenu révèlent que les pratiques liées aux mobilités de compétence et d’environnement, revêtent des enjeux organisationnels et humains. Cette configuration reste néanmoins plus théorique qu’opérationnelle, en raison de nombreuses contraintes organisationnelles et sources d’inefficacité managériale telles comme une définition peu claire des critères de choix de mobilité, une longévité du personnel au poste de travail, etc.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
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
Bibliometrics0.0000.006
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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