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Record W4380520889 · doi:10.6000/1929-4409.2020.09.329

Foreign Constitutional Guarantee of Voting Right

2022· article· en· W4380520889 on OpenAlexvenueno aff
Vladimir A. Troyan, Alexander Kuznetsov, Alevtina E. Novikova, Lyudmila A. Tkhabisimova, Alexey V. Zemlyanoy

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsVotingCommonwealthPolitical scienceDialecticIdentification (biology)LawConstitutional lawSovereigntyMember statesLaw and economicsBusinessSociologyPoliticsInternational trade

Abstract

fetched live from OpenAlex

The paper presents the results of a comparative legal study of the texts from the constitutions belonging to the member countries of the Commonwealth of Independent States to identify guarantees of legal voting right in them. The study was built based on a dialectical approach to disclosing legal phenomena and processes using general scientific (systemic, logical, analysis, and synthesis) and particular scientific methods. Based on the classification method, the sought guarantees were identified, named, and characterized in the following varieties: constitutional sovereign, electoral constitutional with a subdivision into the material (general and particular) and procedural (restrictive and technical) types, and institutional guarantees implemented by special and constitutional control entities as well as standardizing constitutional types. Within this working framework, the authors present the results of the comparative study devoted to the constitutions of the CIS member states in connection with the identification of guarantees of legal voting right in them. So far, no such comparative study has been conducted to identify the securities of the right to vote in the member states of the Commonwealth of Independent States.

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)0.000
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 score0.174
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.071
GPT teacher head0.374
Teacher spread0.303 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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