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Record W4229456835 · doi:10.18822/byusu202201155-165

Comparative analysis of the implementation of the programs of sustainable development of the SIPN in the Northernand Arctic regions of Russia and the world

2022· article· en· W4229456835 on OpenAlexaboutno aff
Oksana N. Mikhailyuk, Elena M. Burundukova

Bibliographic record

VenueYugra State University Bulletin · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousCharterPolitical scienceDeclarationArcticPopulationConvention on Biological DiversitySustainable developmentTraditional knowledgeConventionEconomic growthGeographyEnvironmental protectionEthnologySociologyBiodiversityLawEcology

Abstract

fetched live from OpenAlex

In the last decade, in connection with the industrial development of the northern and Arctic territories, the question arises of preserving the original unique culture of the indigenous peoples of the North (Indigenous Peoples of the North), leading a tribal and semi-tribal way of life. Topical in the light of the increased importance of the Arctic territories of the northern countries today are the issues of protecting the social rights of the indigenous peoples, including the preservation of traditional nature management and the life of ethno-cultural communities. Since the late 1980s to date, important international legal acts have been adopted regarding peoples leading a tribal and nomadic lifestyle: International Convention No. 169 of the International Labor Organization (1989); Kari-Oka Declaration and Charter of the World's Aboriginal Peoples (1992); UN Convention on Biological Diversity (1993); United Nations Declaration on the Rights of Indigenous Peoples (2007). These legal acts significantly increased the rating of the indigenous peoples of the North, raising the problem of their preservation to the level of global importance, and necessitated the development of a support policy. Let us consider the experience of supporting indigenous peoples on the example of countries where the proportion of such a population occupies a significant share (Canada and Norway), as well as the experience of the northern territories of Russia.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.273
Teacher spread0.256 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

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