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Record W2092437968 · doi:10.5539/sar.v3n4p1

Formative Research on Acceptability of Pearl Millet in Rural Eastern Kenya – A Pilot Study

2014· article· en· W2092437968 on OpenAlexvenueno aff
Mueni Hellen Ndiku, Eddy Jara, Joan Sabaté

Bibliographic record

VenueSustainable Agriculture Research · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed and Plant Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsPearlBarterSorghumGeographyAgronomyAgricultural scienceBiologyEconomics

Abstract

fetched live from OpenAlex

<p class="Style1">This study explored the acceptability of pearl millet grain in rural Eastern Kenya. Ninety seven households accepted to plant pearl millet. These were the 37 who were part of the study and other 60 who were not part of the study. When requested to barter 2 kg pearl millet with maize, 33 (85%) out of 39bartered with maize, 2 (5%) with sorghum, 2 (5%) with chicken and 2 (5%) with money. The average score for skill attainment was 88% with 92.5% mothers readily gaining the skill to prepare and incorporate pearl millet into the daily diet of children. Children liked pearl millet when given with a low of 77.8% and a high of 93.2%. These findings suggest that policies or programs to promote cultivation, bartering, and consumption of pearl millet grain could be well acceptable in rural Eastern Kenya which could add to the nutritional content of local diets.</p>

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)0.008
metaresearch head score (Gemma)0.011
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 score0.010
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.064
GPT teacher head0.341
Teacher spread0.278 · 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

Citations8
Published2014
Admission routes1
Has abstractyes

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