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Record W4285489382 · doi:10.34118/djei.v12i1.1123

Les effets de la modernisation du secteur agricole sur la croissance économique : l’analyse comparative des stratégies nationales de l’Algérie, du Maroc et de la Tunisie

2021· article· fr· W4285489382 on OpenAlexaff
BOUCHETARA Mehdi, Marguerite Wotto, Sidi Eyih

Bibliographic record

VenueDirassat Journal Economic Issue · 2021
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical scienceModernization theoryHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les stratégies nationales de modernisation agissent comme des facteurs favorisant des innovations pour créer des emplois et la richesse nationale, spécialement dans le domaine agricole. Quels sont les effets des stratégies nationales de modernisation du secteur agricole dans les pays maghrébins d’Algérie, du Maroc et de la Tunisie ? Par cette question, cet article fait une analyse comparative des stratégies nationales de ces trois pays maghrébins. Il élabore un diagnostic nuancé des effets de la modernisation du secteur agricole en établissant des forces et faiblesses de ces stratégies. Les résultats montrent une volonté des trois Etats de développer leurs infrastructures pour assurer la sécurité alimentaire.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.294
Teacher spread0.259 · 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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