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Record W2142088340 · doi:10.4000/vertigo.13059

Indices de structures spatiales des îlots de forêts denses dans la région des Monts Kouffé

2012· article· fr· W2142088340 on OpenAlex
Inoussa Toko Mouhamadou, Fatou Touré, Ismaïla Toko Imorou, Brice Sinsin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVertigO · 2012
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsForestryGeography

Abstract

fetched live from OpenAlex

La région des Monts Kouffé concerne ici la Forêt classée des Monts Kouffé et sa périphérie sud. Au Bénin, la Forêt classée des Monts Kouffé subit des pressions anthropiques qui ont pour nom une croissance démographique galopante, une agriculture itinérante sur brûlis, pâturage et braconnage anarchiques, exploitation forestière abusive, dysfonctionnement des écosystèmes forestiers et perte de la biodiversité. L’objectif général de cette étude est de caractériser les îlots de forêt dense de la forêt classée des Monts Kouffé en vue de mettre en exergue leur dynamique spatio-temporelle. La méthodologie adoptée est basée sur les techniques de la télédétection, de la cartographie et de l’écologie du paysage. À partir des images satellitaires Landsat TM de 1986 et ETM+ de 2006 toutes de 30 m de résolution spatiale, celles-ci ont permis le calcul des indices spatiaux comme le nombre de taches (ilots de forêts denses), l’aire totale des taches, la dominance, l’aire moyenne, la diversité des aires des taches et l’indice de forme.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.242
Teacher spread0.215 · 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