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The Comparative Analysis of the Structure and Legal Technique of the Electoral Acts of the Russian Federation, France and Canada

2022· article· en· W4389634383 on OpenAlexaboutno aff
Vladimir Podshivalov

Bibliographic record

VenueAcademic Law Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatorLegislationPolitical scienceRussian federationLawState (computer science)SociologyRegional science

Abstract

fetched live from OpenAlex

The article reasons the necessity to perform an analysis of the contemporary legal regulation of elections in Russian Federation not only in aspect of its content, but also in aspect of the structure and legal technique used in the corresponding legal texts. The author notes the recent development of the Russian electoral legislation shows its inner logic and less and less reflects the features of its Western European sources. Analysis and comparison of the structure and legal technique is conducted of the following electoral legal acts: Russian Federal Laws "On the principal guarantees of the Russian citizens' electoral rights and its right to participate in referendum" and "On the elections of the State Duma deputies", Electoral Code of France and Canada Elections Act. On the base of collected information which includes newly found actual data the author argues highs and lows of the discovered approaches of respective national legislator and surmises motives which could determine them. Comparison of Russian electoral acts to its foreign counterparts confirms general similarity of its content while different approaches to the structure and important specifics of the completeness and particularity of the legal regulation of electoral relations. On example of the Electoral Code of France it is shown that the complication of the legal act structure by extensive use of the "general rule - specific rule" pattern is favorable only in the limited number of cases. The conclusion is made that the distinctive feature of the Russian electoral legislation is a consistent adherence to the principle which demands to place articles in an order determined by the sequence of the electoral procedure stages. Also the Russian electoral legislation is differentiated by unreasonable growth of the articles as base structure elements of legal acts.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.999

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 studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.301
Teacher spread0.289 · 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 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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