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Record W2168437735

Northwest African and Middle Eastern food and dietary change of indigenous peoples.

2003· article· en· W2168437735 on OpenAlexaff
Harriet V. Kuhnlein, Timothy Johns

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsIndigenousMiddle EastGeographyUrbanizationEthnic groupPovertyFood systemsEnvironmental protectionSocioeconomicsFood securityEconomic growthEcologyAgriculturePolitical scienceSociologyArchaeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

This paper describes cultural and ecological characteristics of Northwest African and Middle Eastern food patterns and discusses the forces contributing to rapid dietary change. Focus is given to indigenous/tribal/ethnic/minorities in these areas with contributions to definitions of these groups, the extent of their diversity, and the importance of their traditional knowledge of local food resources. Urbanization, particularly for those facing extreme poverty in the urban environment, is recognized as a significant force to dietary change and consequent poor nutrition, especially for children. Examples of food systems are given for the coastal zone of West Africa and the semi-arid and desert zones of North Africa and the Middle East, also including the food system of Pharaonic times. Trends in dietary change are presented as data derived from FAO Food Balance Sheets.

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 score0.058
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.057
GPT teacher head0.182
Teacher spread0.125 · 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

Citations15
Published2003
Admission routes1
Has abstractyes

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