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Record W7102408548 · doi:10.60713/pist-199490

Problématique de la caisse générale de compensation en Tunisie

2024· dissertation· fr· W7102408548 on OpenAlexaboutno aff

Bibliographic record

VenueTunisian Scientific and Technical Information Portal · 2024
Typedissertation
Languagefr
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCompensation (psychology)Economic analysisPublic investmentQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

La Caisse Générale de Compensation (CGC) en Tunisie est confrontée à une contradiction fondamentale dans son système de subvention alimentaire. Cette contradiction découle de plusieurs déterminants sous-jacents. Historiquement, les subventions alimentaires ont été mises en place pour stabiliser les prix et assurer la sécurité alimentaire. Cependant, l'intégration de la Tunisie dans l'économie mondiale et les politiques de libéralisation économique imposées par des organismes internationaux comme le FMI et la Banque mondiale ont généré des tensions. Bien que la Tunisie ait réussi à maîtriser les charges de la CGC, les flambées des prix mondiaux, notamment en 2006-2008, ont rendu ces charges insoutenables pour les finances publiques. Une analyse économétrique avec la méthode ARDL a révélé que les politiques agricoles, monétaires et salariales ont des effets significatifs à long terme sur les subventions, en particulier celles des céréales, qui sont les produits les plus subventionnés. Ces résultats soulignent la nécessité de réformes profondes pour garantir la viabilité économique et sociale du système de compensation alimentaire en Tunisie.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.536
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.313
Teacher spread0.301 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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