MétaCan
Menu
Back to cohort
Record W3184630868 · doi:10.5539/jfr.v10n4p16

Ethnobotanical Uses of Non-cultivated Edible Fruit Species in the Department of Oussouye (South Senegal)

2021· article· en· W3184630868 on OpenAlexvenueno aff
Yves Djihounouck, Doudou Diop, César Bassène, Seyni Sané, Kandioura Noba

Bibliographic record

VenueJournal of Food Research · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEthnobotanyCeibaParkia biglobosaSubsistence agricultureGeographyTraditional knowledgePopulationAnacardiaceaeFirewoodBiologyAgroforestryMedicinal plantsAgricultureBotanyEcologyIndigenous

Abstract

fetched live from OpenAlex

Forests are an immense reservoir of biological resources and provide the local population with subsistence needs, especially for edible fruits. This study contributes to a better knowledge of the use modes of non-cultivate edible plant species in the area of Kasa, traditional name for the department of Oussouye. Ethnobotanical surveys, based on an interview guide, oral discussions and direct observations were conducted among 178 people from the department of Oussouye, stronghold of the Diola ethnic group. A factorial correspondence analysis highlighted the relationship between species and categories of use. The frequency of citation, informant consensus factor and use value showed the socio-cultural importance of the species. The data collected identified 62 edible species divided into 31 families and 54 genera. The fruit species inventoried are used for different purposes. They are a food source with 62% of citations, energetic 19%, technological 14%, medicinal 13%, cultural 6% and agronomic 2% for the populations. Two species stand out for their high use value factor (UVt). These were Elaeis guineensis (12.24) and Borassus aethiopum (7.56). In addition to their use value, species such as Mangifera indica, Neocarya macrophylla, Parkia biglobosa, Anacardium occidentale, Ceiba pentandra, Parinari excelsa, stood out for their categories and organs used. These results inform us about the level of use of fruit species for different needs and open up avenues for research in sustainable management of this resource with the aim of reducing poverty.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.143
GPT teacher head0.339
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Food ResearchSame topicAfrican Botany and Ecology StudiesFrench-language works237,207