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Record W2093864630 · doi:10.1080/03670244.2013.768122

Wild Foods from Farm and Forest in the East Usambara Mountains, Tanzania

2013· article· en· W2093864630 on OpenAlexaff
Bronwen Powell, Patrick Maundu, Harriet V. Kuhnlein, Timothy Johns

Bibliographic record

VenueEcology of Food and Nutrition · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsTanzaniaAgricultureGeographyBiologyEcology

Abstract

fetched live from OpenAlex

This study explored the role of wild foods in the diets of children and mothers in the East Usambara Mountains (N = 274 dyads). We identified 92 wild food species. Although dietary diversity (most measures) was not different between seasons, wild foods accounted for a greater percentage of items consumed in the wet (food insecure) season. Many wild foods were obtained on farm; wild foods obtained from the forest accounted for less than 3% of food items consumed. Wild foods were used by virtually all informants but contributed only 2% of total energy in the diet. However, they contributed large percentages of vitamin A (RAE) (31%), vitamin C (20%), and iron (19.19%). Agricultural factors (e.g., hours spent in farm) were associated with greater wild food use. These findings suggest participation in agriculture may be important for the maintenance of wild food use, and that wild foods can play an important role in the nutritional resilience of local people.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.193
Teacher spread0.179 · 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

Citations108
Published2013
Admission routes1
Has abstractyes

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