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Modern Labor Market in the Arctic Zone of the Russian Federation

2020· article· en· W3090276580 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFederalism · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsImpact
Fundersnot available
KeywordsLaggingWork (physics)BusinessConsumption (sociology)Russian federationArcticService (business)Goods and servicesProduction (economics)Market economyEconomic policyEconomicsMarketingEngineering

Abstract

fetched live from OpenAlex

The article highlights the features of employment in the Arctic zone of Russia. The main one is the disparity between the importance of the AZRF in the country’s economy and the constant shortage of workers. This disparity has not arisen now, but is a traditional problem since the Soviet Union, which created a certain management mechanism that promotes the development of this potential. This mechanism was based on state ownership of the property of enterprises and organizations, a centralized system of recruitment of personnel attracted to work from other regions, as well as wages and social packages in order to ensure their material interest in work. All this is against the background of unfavorable climatic conditions for health, lagging service infrastructure (housing, education, medicine), difficulties in providing food and personal consumption goods - primarily due to agricultural production and hence dependence on the center for all these items.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.031
GPT teacher head0.291
Teacher spread0.260 · 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