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Record W2566939763

Сельское Хозяйство России в Условиях Санкций (Russian Agriculture in Conditions of Sanctions)

2014· article· ru· W2566939763 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.

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

VenueSSRN Electronic Journal · 2014
Typearticle
Languageru
FieldSocial Sciences
TopicLegal and Regulatory Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsSurprisePolitical scienceAgriculturePoliticsInternational tradeEconomic sanctionsEconomyEconomic policyPolitical economyDevelopment economicsGeographyBusinessEconomicsLawSociology
DOInot available

Abstract

fetched live from OpenAlex

Russian Abstract: Россия 7 августа 2014 г. ввела ограничения на ввоз продовольствия из стран ЕС, США, Канады, Норвегии и Австралии (далее – антисанкции) в ответ на санкции в отношении России, связанные с политическими событиями на Украине.Этот шаг был воспринят многими внутри страны, тем более – за рубежом, с удивлением, поскольку Россия на момент введения антисанкций продолжала оставаться крупным импортером продовольствия.English Abstract: Russia has introduced restrictions for import of food from EU countries, the USA, Canada, Norway and Australia (further – anti-sanctions)on August 7, 2014 in response to the sanctions against Russia connected with political events in Ukraine.This step has been apprehended by many within the country, especially – abroad, with surprise as Russia at the time of introduction of anti-sanctions continued to remain the large importer of food.

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 categoriesResearch integrity
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 score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.004
GPT teacher head0.242
Teacher spread0.238 · 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