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Record W3020398278 · doi:10.1139/cjfr-2019-0443

Évaluation des services d’approvisionnement fournis par les espaces domaniaux anthropisés : cas de la forêt classée du Haut-Sassandra (Centre-Ouest de la Côte d’Ivoire)

2020· article· fr· W3020398278 on OpenAlexvenueno aff
Adjo Annie Yvette ASSALE, Yao Sadaiou Sabas Barima, Yao Charles Sangne, Deffan K.C.R. Bleu, Kouassi Bruno Kpangui

Bibliographic record

VenueCanadian Journal of Forest Research · 2020
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsForestryHumanitiesCote d ivoireGeographyArt

Abstract

fetched live from OpenAlex

Les forêts protégées ivoiriennes fournissent des services écosystémiques aux gestionnaires ainsi qu’aux populations riveraines. Cependant, leur gestion connaît de nombreuses difficultés du fait de leur infiltration illégale pour l’agriculture. Ces différentes conversions des classes d’occupation du sol ont modifié les différents services d’approvisionnement des forêts domaniales en général et des forêts classées en particulier. Cette étude a pour objectif d’évaluer les services d’approvisionnement fournis par les plantes de la forêt classée du Haut-Sassandra (FCHS) dans le Centre-Ouest ivoirien, en comparant les bénéfices issus de la FCHS en 2019 à ceux tirés de cet espace en 2000. Les dynamiques spatiotemporelles des formations végétales ont été analysées et ont mis en exergue la progression des exploitations cacaoyères (951,51 % de progression) au détriment des forêts (92,08 % de régression) entre 2000 et 2019. Les enquêtes socioéconomiques ont révélé que cette augmentation des surfaces cacaoyères a entrainé des pertes de 98,11, 93,18 et 78,67 % d’espèces respectivement utilisées pour l’artisanat, la construction et la pharmacopée traditionnelle et une augmentation des services d’alimentation liés aux espèces agricoles. Cependant, ces bénéfices ne profitent pas à l’ensemble des communautés présentes dans la zone d’étude.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.004
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.305
Teacher spread0.242 · 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 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

Citations4
Published2020
Admission routes1
Has abstractyes

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