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Record W2133545201 · doi:10.17722/ijrbt.v5i3.362

Global Food security

2014· article· en· W2133545201 on OpenAlexvenueno aff
Adebola Omotayo Olawuwo, Christian Bach

Bibliographic record

VenueInternational Journal of Research in Business and Technology · 2014
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
Fundersnot available
KeywordsFood securityBusinessComputer scienceEnvironmental scienceGeographyAgriculture

Abstract

fetched live from OpenAlex

Food security refers not only to an adequate aggregate supply of food, but also means that people at all times have both physical and economic access to basic food. Population growth is probably the single most important global factor influencing food secutiy because of its rapid rate of increase. This paper aims to review the concept of global food security and investigate its relationship among different factors that must be taken into consideration for a nation to be food secure. The theoretical foundation of this paper was formed by conducting a comprehensive literature review on global food security. A new model was presented to illustrate the relationship between global food security and four specific factors that are essential for a nation to attain the level of global food security. The proposed model clearly shows how government and individuals must collaborate to attain the level of food security desired taking into consideration the many factors discussed. The paper demonstrates that global food security is a unique and complicated concept which requires the utilization of a specialized cross-functional team to tackle the various obstacles along the way.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0300.003

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 head0.182
GPT teacher head0.535
Teacher spread0.353 · 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 designNot applicable
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

Citations1
Published2014
Admission routes1
Has abstractyes

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Same venueInternational Journal of Research in Business and TechnologySame topicFood Security and Health in Diverse PopulationsFrench-language works237,207