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Record W4392423980 · doi:10.6000/1929-4409.2020.09.367

Universal Human Rights and State Sovereignty

2021· article· en· W4392423980 on OpenAlexvenueno aff
Iryna Boiko, Yuliia Mеkh, Olha Soloviova, Valentyna A. Somina, Olena B. Cherviakova

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyState (computer science)Human rightsLawPolitical scienceLaw and economicsSociologyComputer sciencePolitics

Abstract

fetched live from OpenAlex

The relevance of the study is conditioned by the necessity of establishing the degree of interaction of universal rights and freedoms of the individual in civil and international law, as well as the possibility of limiting state sovereignty in the implementation of international obligations to ensure and protect human rights. The purpose of the paper is to investigate the international experience of legal regulation of universal human rights in order to develop ideas for their implementation in the legal framework of countries in transformation, including Ukraine. The leading methods of the study included the analysis of international and European practices of consolidating universal human and civil rights, modelling of legal structures acceptable to Ukraine. As a result of the study, it was concluded that the restriction of state sovereignty is possible only in favour of the individual based on the priority of human rights. The research materials can be useful for lawyers and government officials performing draft law activities, teachers of law schools, as well as officials and public administration officials who seek to apply the standards and practices of international regulation of universal human and civil rights in individual management cases.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.046
Scholarly communication0.0050.006
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.340
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations7
Published2021
Admission routes1
Has abstractyes

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