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World food security: current state

2021· article· en· W3201812777 on OpenAlexaboutno aff
Liubov Oleksiivna Syhyda, А.Г. Бондаренко

Bibliographic record

VenueGalician economic journal · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsFood securityIndex (typography)Consumption (sociology)BusinessFood safetyQuality (philosophy)Ranking (information retrieval)EconomicsDevelopment economicsPublic economicsGeographyAgricultureMedicine

Abstract

fetched live from OpenAlex

Food security is directly related to nutrition and public health. It concerns the availability of food needed by people, its accessibility to consumers, including financial aspects of accessibility, the food utilization in sufficient quantity and quality to ensure full life, and stability, i.e. the ability to resist the negative changes that occur in food supply chains. Food security is a causal path that begins with production and leads to consumption, going through stages of stabilization and stress management. Therefore, the aim of this paper is to consider the essence of food security and investigate its level by the analysis of world rankings. Consequently, the Global Food Security Index, which measures the level of food security in four areas – food affordability, food availability, food quality and safety, and natural resources and resiliencies considered in this paper. According to this ranking, the first three places are occupied by the countries of Western Europe – Finland, Ireland, and the Netherlands. Except European countries, top 15 countries also include Israel, Japan, the United States of America, Canada, and New Zealand. Ukraine ranks 54th out of 113 countries. Positive changes occur only in the group «quality and safety». The rest of the groups of food security indicators for Ukraine show negative trends. In particular, in the group «food availability» indicators of «food security and access policy commitments» and «political and social barriers to access» decreased by more than thirty percent comparing with the previous year. Additionally, Global Hunger Index is considered. This index is based on four indicators – undernourishment, child wasting, child stunting, and child mortality. Despite the tendency of index improvement by the regions of the world, its value is particularly dangerous for the countries of Africa South of the Sahara, and South Asia. For Ukraine, the value of this indicator is less than 5, since 2006. This fact classifies Ukraine as a low-risk area. Accordingly, the analysis shows that currently the second goal of the Sustainable Development Plan – «Zero Hunger», is unattainable by 2030.

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0010.001
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.008

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 head0.011
GPT teacher head0.207
Teacher spread0.195 · 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".

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Citations1
Published2021
Admission routes1
Has abstractyes

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