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Record W2934474353 · doi:10.5539/sar.v8n2p55

Shackled Orange: Biofortified Varieties in the Sweetpotato Commodity Chain in Mozambique

2019· article· en· W2934474353 on OpenAlexvenueno aff
Ilaria Tedesco

Bibliographic record

VenueSustainable Agriculture Research · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
FundersDepartment for International DevelopmentBill and Melinda Gates Foundation
KeywordsBusinessBiofortificationCommodityOrange (colour)Agricultural economicsPopulationEconomicsCommerceBiology

Abstract

fetched live from OpenAlex

Biofortified, orange-fleshed sweetpotato (OFSP) varieties are being promoted as a part of a strategy to reduce Vitamin A Deficiency among rural and urban populations in Sub-Saharan Africa. This paper uses the commodity chain approach to understand whether markets may stimulate or not the production of the new orange sweetpotato varieties on Mozambique’s main consumer market, Maputo, its capital and largest city. It shows that the chain linking rural producers to the city’s consumers is operated by private actors; the government provides basic infrastructures and price information. International donors are involved through the dissemination of planting material and nutrition information in support the marketing of OFSP. The commodity chains of white and orange-fleshed varieties are entwined with no clear price differences. The annual marketed volume is estimated at 8,000 tonnes, mostly produced by smallholders and sold to consumers by sidewalk and open-air market retailers. This market segment is dominated by women. A small group of specialized - male and female - commercial OFSP producers supplies about 0.5% to 1% of this market selling directly to a specific group of clients who either buy at farm gate or through home delivery. The conclusion is that the existing commodity chain fails to stimulate the production of OFSP and the expansion of its benefits to wider sections of the population suggesting that the emphasis should be on having biofortified varieties that can compete successfully with the conventional ones at the farm-level.

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)0.006
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.284
Teacher spread0.255 · 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 designTheoretical or conceptual
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

Citations6
Published2019
Admission routes1
Has abstractyes

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