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Record W2119886864 · doi:10.3917/riges.321.0091

La gouvernance mondiale de la lutte contre la corruption

2007· article· fr· W2119886864 on OpenAlexaffvenue
César Garzón, Taı̈eb Hafsi

Bibliographic record

VenueGestion · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsHEC MontréalÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Résumé La corruption est devenue aujourd’hui un enjeu économique et institutionnel mondial qui touche non seulement les entreprises, mais aussi l’équilibre socioéconomique et parfois politique des pays. De ce fait, elle a forcé la communauté internationale et tous les pays qui la constituent à lui accorder une attention plus grande. Cet article relate comment la corruption est devenue cet enjeu mondial et comment les organisations internationales, comme l’O.C.D.E., la Banque mondiale et le F.M.I., ont entrepris de construire un cadre normatif de gouvernance qui permette de la combattre. Un modèle qui résume le cadre en développement est proposé. Cet article se focalise surtout sur l’action des organisations internationales et révèle le rôle particulier que joue Transparence-International qui en est le fer de lance. Quelques conséquences de cette évolution pour la gestion des entreprises sont indiquées en guise de conclusion.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.010
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.014
GPT teacher head0.283
Teacher spread0.268 · 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 designNot applicable
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
Published2007
Admission routes2
Has abstractyes

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