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Record W4413797350 · doi:10.1051/cagri/2025030

Évolution des démarches d’accompagnement des transitions agroécologiques en Tunisie

2025· article· fr· W4413797350 on OpenAlexfundno aff
Rahma Jaouadi, Guillaume Lestrelin, Mehdi Ben Mimoun

Bibliographic record

VenueCahiers Agricultures · 2025
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsnot available
FundersFonds Français pour l'Environnement MondialAgence Française de DéveloppementMinistry of Agriculture - Saskatchewan
KeywordsGeographyForestry

Abstract

fetched live from OpenAlex

L’agroécologie a progressivement émergé comme une alternative aux limites de la Révolution verte, en apportant des réponses aux enjeux de durabilité dans un contexte marqué par l’intensification des aléas climatiques. En Tunisie, les petites exploitations pluviales sont confrontées à la dégradation des ressources naturelles, aux effets du changement climatique et à des instabilités socioéconomiques. Depuis vingt ans, plusieurs stratégies ont été mises en œuvre pour promouvoir des pratiques agroécologiques en faveur de la résilience. Cet article analyse l’évolution des démarches d’accompagnement déployées dans ce cadre. L’analyse qualitative de 54 initiatives menées entre 1997 et 2023 met en évidence quatre grandes phases, marquées par un passage progressif d’approches descendantes à des dispositifs multi-acteurs et participatifs. Les résultats soulignent une prise en compte croissante des dimensions socioéconomiques aux côtés des principes écologiques. L’étude met en lumière le rôle clé de la gouvernance participative, du renforcement des capacités et de l’ancrage territorial, tout en pointant les limites structurelles et institutionnelles à la pérennisation de ces initiatives.

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)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.230
Teacher spread0.217 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCahiers AgriculturesSame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207