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Record W4322711533 · doi:10.4000/vertigo.36609

Printemps arabe et « retour à la montagne », prédation ou développement ?

2022· article· fr· W4322711533 on OpenAlexvenueno aff
Hédi Rebei

Bibliographic record

VenueVertigO · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Malgré leur statut de propriété domaniale mise en défens, les montagnes tunisiennes connaissent un phénomène de « retour » des ruraux et des formes d’exploitation et d’occupation variées depuis la révolte du 14 janvier 2011. Cela met fin à la distanciation des rapports entre l’homme et la montagne, mais restaure-t-il le patrimoine montagnard des régions concernées ? Y impulse-t-il le développement local ? Ou génère-t-il de nouveaux ravages environnementaux et de nouveaux conflits ? L’exemple de djebel Goubrar (Tunisie du Centre-Ouest) permet de comprendre les mutations des structures agraires et des formes d’occupation du sol depuis la fin du XIXème siècle. Il aide surtout à comprendre l’actuel « retour à la montagne » et les stratégies et représentations des acteurs locaux autour du développement local et durable de ces régions pauvres et marginalisées.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.012
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.045
GPT teacher head0.343
Teacher spread0.299 · 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 designQualitative
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

Citations2
Published2022
Admission routes1
Has abstractyes

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Same venueVertigOSame topicPolitical and Social IssuesFrench-language works237,207