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Record W1579482764 · doi:10.7202/044197ar

Gérer l’espace sans gouverner les hommes

2010· article· fr· W1579482764 on OpenAlexvenueno aff
Tarik Dahou

Bibliographic record

VenueAnthropologie et Sociétés · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyESPACEArt

Abstract

fetched live from OpenAlex

Malgré le caractère parfois participatif de l’élaboration des plans de gestion et des mesures de zonage, les Aires marines protégées sont rarement des exemples de mise en oeuvre réussie d’une gouvernance décentralisée des ressources naturelles, ainsi que le montrent les conflits récurrents entre organes de gestion et groupes sociaux. En tant qu’héritières des logiques topographiques de l’État, les AMP peinent, au même titre que leurs devancières terrestres, à s’adapter aux contextes socioéconomiques, écologiques et locaux, et engendrent souvent des inégalités. Malgré leur intention avouée d’une gestion décentralisée, les AMP d’Afrique de l’Ouest s’intègrent peu aux modalités locales d’exploitation des ressources, et notamment à la diversité et à la complexité des usages locaux, amputant du même coup la maîtrise du territoire par leurs résidents. Nous illustrons ce paradoxe dans le cas de l’Aire marine protégée du delta du Saloum au Sénégal.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.016
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0540.001

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 head0.190
GPT teacher head0.513
Teacher spread0.323 · 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; both teacher heads agree on what is shown here.

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

Citations22
Published2010
Admission routes1
Has abstractyes

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