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Record W4404499844 · doi:10.26642/sas-2024-5(5)-66-74

Bibliometric analysis of scientific researches on issues of food security of the state

2024· article· en· W4404499844 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSociety and Security · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Food securityPolitical scienceRegional scienceSociologyComputer scienceGeographyAgricultureArchaeology

Abstract

fetched live from OpenAlex

The article presents a bibliometric analysis of scientific studies devoted to the problems of food security of the state. In the work, we assessed the trends, dynamics and main directions of research development in this field. We analyzed scientific publications, identified key scientific journals, authors, countries and organizations that conduct active research in this field. It was found that scientists from the USA, China and Great Britain made the greatest contribution to the study of this problem, followed by India, Australia, Canada and Germany. The obtained results indicate an increase in the number of publications on this topic. The results of the study showed that interest in the problem of food security is growing significantly, especially in the context of climate challenges and political instability in many regions of the world. The revealed trends indicate that special attention is paid to the issues of ensuring the stability of food supplies, increasing the efficiency of agricultural production and reducing dependence on external sources of supply. The results of this study are relevant and allow us to outline the direction for further study of this issue. During the research, various methods were used to evaluate and visualize scientific activity: analysis of citations to identify influential works and authors, methods of analysis and synthesis, logical method.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.067
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.352
Teacher spread0.296 · 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