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Record W4390267352 · doi:10.31648/pw.9705

Uwarunkowania rozwoju stosunków finansowo-kredytowych krajów bloku radzieckiego z Zachodem w latach 80. XX wieku

2023· article· en· W4390267352 on OpenAlexaboutno aff
Zbigniew Klimiuk

Bibliographic record

VenuePrzegląd Wschodnioeuropejski · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsSoviet unionCommunismPolitical scienceDebtDevelopment economicsEconomicsEconomyFinance

Abstract

fetched live from OpenAlex

Economic relations between Comecon countries led by the Soviet Union (communist bloc) and OECD countries (Western Europe, the USA, Canada and Japan) in the 1980s were characterized by deep stagnation in all areas of mutual cooperation. This was due to many negative factors interconnected in a short time. They were very diverse in terms of nature, range and durability of impact. The article contains an analysis of the development of the financial and credit relations of the Soviet bloc countries with the West in the 1980s in the existing political and economic conditions of East-West relations. The financial and credit dependence of the socialist countries was very clear and intense at that time. Its elimination or reduction as a result of the development of connections in other directions was only partially possible. Its negative impact also covered areas vital for individual economies. In addition, it was of a long-term nature, which made this type of dependence useful as an economic instrument for political purposes, both in the aspect of short-term and long-term pressure on the implementation of political intentions. When analyzing the entirety of East-West economic contacts, one cannot omit the problem of the debt of the Comecon countries, which largely determines the development of all areas of cooperation. In the 1980s, in Comecon-OECD credit relations, two trends clearly intersected: negative and positive. A negative trend was manifested in the increase in debt burdening the economies of many Central and Eastern European countries. This was caused by an increase in payment liabilities for servicing debts resulting from the postponement of loan repayment dates.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.439
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.007

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 head0.053
GPT teacher head0.324
Teacher spread0.271 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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