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Record W7028369047

Food Security of the Northern Territories of the Arctic Countries in the Context of Global Processes

2023· article· en· W7028369047 on OpenAlexaboutno aff

Bibliographic record

VenueSibFU Digital Repository (Siberian Federal University) · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersUniversity of the Arctic
KeywordsFood securityArcticCircumpolar starContext (archaeology)PopulationFood systemsIndigenous
DOInot available

Abstract

fetched live from OpenAlex

The intensification of economic development of the Arctic region of the world poses an acute problem of ensuring food security for both the indigenous population and residents of newly formed settlements, as well as employees of enterprises working on a temporary basis and involved in the development of new mineral deposits and the creation of infrastructure facilities. The study by the authors of the scientific problem of food security in the Arctic was the result of previous studies of global trends in the transformation of food systems in the context of the deterioration of food supply to the world and individual regions. The purpose of the study is to identify the current state and prospects for solving the food security problem for the population of the Arctic regions. The authors’ point of view is based on a set of multidirectional trends in food supply in the Arctic countries and consists in the fact that there are clearly pronounced country specifics and approaches to solving this problem in a geographically unified circumpolar region under the impact of a combination of endogenous and exogenous factors. The theoretical basis of the research is the studies of Russian and foreign researchers of food security at the global, regional and country levels. Its information base consists of official statistics of international organizations and countries of the Arctic region, programs and strategies for the development of the Arctic adopted in Canada, Denmark, Finland, Iceland, Norway, Russia, Sweden, and the United States. The authors have developed a typology of food systems in the Arctic regions, identified problems, specifics and general features of ensuring food security in the Arctic zone at the current stage. The conclusions and results of the study can be used in shaping and developing new areas of integrated economic development by Russian federal entities and the authorities of the northern territories of Arctic states in compliance with the basic requirements for food supply

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.327

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.246
Teacher spread0.233 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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