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Record W4320915216 · doi:10.33920/pol-01-2302-05

Assessment of conflict potential in the social and labor sphere and the impact of Western sanctions on the development of labor relations in the Russian Federation

2023· article· en· W4320915216 on OpenAlex
А. А. Dovganenko

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

VenueSocial naja politika i social noe partnerstvo (Social Policy and Social Partnership) · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicImpulse Buying and Technology Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsPolitical sciencePoliticsRussian federationQuarter (Canadian coin)Economic sanctionsLabor relationsSocial securitySocial conflictPolitical economyEconomyEconomic systemEconomic policyEconomicsLawGeography

Abstract

fetched live from OpenAlex

Since the second quarter of 2022, social and labor situation in the Russian Federation, development of labor relations at enterprises (institutions), and the conflict potential are formed under the influence of new external and internal conditions. After the beginning of the Special military operation on the territory of Ukraine, Western unfriendly states have adopted and introduced new packages of illegal economic, political and other sanctions against Russia, aimed at isolating our country and destroying its industry. In response to the actions of the "collective West", the Russian leadership is taking retaliatory measures, as well as implementing a plan to protect and develop the economy and national security.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.099
GPT teacher head0.380
Teacher spread0.281 · 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