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Record W1639406656 · doi:10.1177/156482650102200408

Marketing of Red Palm Oil as a Food Source of Vitamin A in Burkina Faso: A Pilot Project Involving Women's Groups

2001· article· en· W1639406656 on OpenAlexaff
Hélène Delisle, Noël Zagré, Virginie Ouedraogo

Bibliographic record

VenueFood and Nutrition Bulletin · 2001
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPalm oilPalmVitaminEnvironmental healthMedicineToxicologyFood scienceBiology

Abstract

fetched live from OpenAlex

Consumption of red palm oil for its provitamin A activity could extend to nonproducing areas of Africa. To assess the impact of red palm oil introduction, vitamin A status was measured in a random sample of mother-child pairs in the pilot areas. This paper describes the marketing approach, the evaluation design, and results after one year. Red palm oil purchased in southern Burkina Faso is retailed in the north-central pilot area by women's groups. At onset, serum retinol was low in 66% of children and 43% of mothers. After one year, 94% of mothers reported liking red palm oil, 71% had purchased it, and 32% had consumed some in the last week. The rates of risk of inadequate vitamin A intake declined by one-third. Prior to scaling-up, the main challenges ahead are positioning red palm oil as a food supplement rather than a cooking oil, and determining whether the increased demand can be met by local production without undue pressure on prices.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.231
Teacher spread0.216 · 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 designNon-randomized trial
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

Citations13
Published2001
Admission routes1
Has abstractyes

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