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Record W2888093971 · doi:10.4000/vertigo.19885

Analyse spatiale multicritère et identification des sols propices à la production du maïs à Ouessè au Bénin

2018· article· fr· W2888093971 on OpenAlexvenueno aff
Olatondji Salomon Chabi Adimi, Joseph Oloukoi, Côovi Aimé Bernadin Tohozin

Bibliographic record

VenueVertigO · 2018
Typearticle
Languagefr
FieldEnvironmental Science
TopicSoil and Land Suitability Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Au Bénin, le maïs occupe une place prépondérante dans le tissu productif. Il constitue le principal aliment de base de toute la partie méridionale du pays soit les 2/3 de la population nationale. Malgré cette importance, son développement rencontre d’énormes difficultés. La présente étude vise à contribuer à une amélioration de la production du maïs dans la commune de Ouessè au Bénin. La méthodologie utilisée est basée sur les techniques des SIG couplées avec les méthodes d’analyse multicritère à partir des données des composantes physico-chimiques du sol. Les résultats obtenus révèlent que la commune de Ouessè présente un niveau d’aptitude des sols élevé à la production du maïs. Elle totalise environ 9,67 % de zone moyennement apte, 17,73 % de zone d’aptitude élevée et 72,62 % de zone d’aptitude très élevée.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.016
GPT teacher head0.260
Teacher spread0.243 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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