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Record W4388728091 · doi:10.23856/5925

THE THIRD WORLD CONGRESS OF FREE UKRAINIANS AS A COMPONENT OF STRUGGLE FOR THE RIGHTS OF THE UKRAINIAN NATION

2023· article· en· W4388728091 on OpenAlexaboutno aff
Anna Vakhnyanyn

Bibliographic record

VenuePolonia University Scientific Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsLatvianPolitical scienceHuman rightsUkrainianDecolonizationPoliticsMemorandumLithuanianCommissionLawPublic administration

Abstract

fetched live from OpenAlex

The article examines the preparation and proceedings of the Third World Congress of Free Ukrainians (WCFU). The author highlights the key challenges faced by the organizers of this event, including a lack of funds and a decline in interest. Furthermore, the article analyzes the influence of international factors on the activities of the WCFU, particularly the processes of decolonization and the increased focus on human rights and freedoms in the 1970s. As a result of these developments, representatives of the Ukrainian, Belarusian, Estonian, Latvian and Lithuanian World Congresses jointly drafted a “Memorandum on Decolonization of the USSR” and submitted it for consideration by the United Nations (UN). To conclude the Congress, a demonstration titled “Defending the Rights of Ukraine – For the Decolonization of the USSR” was organized. The article highlights key achievements of the Commission on Human Rights of the WCFU, including the defense of the rights of political prisoners such as Valentyn Moroz, Leonid Plyushch, Mykola Rudenko, Oleksiy Tykhyi, Lev Lukianenko and others. The Commission also participated in conferences under the auspices of the UN in honor of the International Women's Year in Mexico in 1975 and Habitat Conference in Vancouver in 1976. Moreover, the article examines the reaction of the Soviet press to the Third WCFU and identifies the main clichés of Soviet propaganda used to describe this event.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.266
Teacher spread0.234 · 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
GenreEmpirical

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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