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Record W2126784001

Importance de la méthode de coupe sur la régénération de Combretaceae du Bassin arachidier sénégalais

2013· article· en· W2126784001 on OpenAlexfundno aff
El Hadji Faye, HA Diallo, SAN Samba, MA Touré, Adjarat Drame, Brahim Ould Sidi Fall, J. Lejoly, Malaïny Diatta, Maguette Kaïre, Charles De Cannière, Grégory Mahy, Jan Bogaert

Bibliographic record

VenueORBi (University of Liège) · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsCombretaceaeGeographyForestryBiologyEcology
DOInot available

Abstract

fetched live from OpenAlex

Importance of the Harvest Method on the Regeneration of Combretaceae in the Senegalese Groundnut Basin. In order to develop recommendations for sustainable management of key fuel wood resources in the Senegalese Groundnut Basin, different diameters and heights of harvesting were tested on Guiera senegalensis J.F. Gmel and Combretum glutinosum Perr. The experimental design is adapted to the usual local harvesting period (May) and to the traditional tools (machete). Three factors were studied: species, height (ground level (RT), 20 and 50 cm) and diameter (0-10 and 10-20 cm). For each species, each treatment is represented by 15 individuals. Results from field observations and analysis of variance on the number of stems and growth variables (height and diameter) suggest a high survival rate (100%), a higher number of stems at 20 and 50 cm cutting height, a slow height growth of stems from ground level stumps (RT), and a larger diameter growth of G. senegalensis. For sustainable management of the studied Combreteceae species in the Groundnut Basin, 20 cm cutting height of all individuals would be appropriate.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.192
Teacher spread0.181 · 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 teacher head, not a consensus.

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
Published2013
Admission routes1
Has abstractyes

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