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Record W2621141674 · doi:10.5539/jpl.v10n3p112

State Policy Priorities for Economic Security Provision among Processing Industries

2017· article· en· W2621141674 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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Development and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsGrossmanTariffHarmonizationAdaptabilityIndustrialisationBusinessIndustrial policyIndustrial organizationVolatility (finance)Context (archaeology)Foreign direct investmentEconomicsCommercial policyInternational economicsInternational tradeMacroeconomicsMarket economyFinance

Abstract

fetched live from OpenAlex

The Russian specificity of processing industry functioning does not allow domestic products to compete on an equal basis with imported analogues, not only at external, but also at the domestic market, which makes a negative impact on the level of economic security. In this context, the harmonization of industrial and trade policies can be viewed as the combination of individual development institutions aimed at the search of external and internal sources of investment resources, as well as the development of import-substituting industrialization policy trends. The results of modeling using the modified Grossman-Helpman model demonstrate that the hypothesis about the dependence of import tariff rate on the strength of industrial lobby groups is not confirmed. Consequently, the tariff foreign trade policy of Russia is a fragmentary one and does not develop the unified principles and priorities for key processing industry support. In this regard, the main task is the development of universal tools that allow to increase the level of business entity adaptability to the increased volatility of endogenous and exogenous factors negatively influencing the level of economic security among industrial complexes.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.633

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 studies0.0000.000
Scholarly communication0.0010.002
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 head0.032
GPT teacher head0.259
Teacher spread0.226 · 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