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Record W7134842107 · doi:10.5281/zenodo.18937658

Cocoa Agribusiness Development and Women Farmers' Employment Opportunities in Côte d'Ivoire: An Action Research Study,

2011· article· en· W7134842107 on OpenAlexaff
Adjo Gbagbo

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCocoa and Sweet Potato Agronomy
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsAgribusinessFocus groupQualitative researchAction researchCollective actionAction (physics)Sustainable developmentWork (physics)

Abstract

fetched live from OpenAlex

Côte d'Ivoire is a major cocoa producer in West Africa, with significant employment opportunities for women farmers in its agribusiness sector. An action research approach was employed, involving qualitative interviews and focus group discussions with women cocoa farmers and industry stakeholders. Women farmers reported increased participation in cooperative organizations, which provided them with better access to markets and training opportunities. The study highlights the importance of enhancing women's organisational capacity within cocoa agribusiness for sustainable development. Policy recommendations include strengthening cooperative structures and providing financial support to ensure equitable benefits from cocoa production. Cocoa, Agribusiness Development, Women Farmers, Employment Opportunities

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.101
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.247
GPT teacher head0.286
Teacher spread0.039 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2011
Admission routes1
Has abstractyes

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