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The influence of procedural features of constitutional control on the style of argumentation: a comparative study

2020· article· en· W3095589026 on OpenAlexaboutno aff
Aldar Chirninov

Bibliographic record

VenueПраво и политика · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArgumentation theoryDissenting opinionNormativeProcedural justiceLawNorm (philosophy)Political scienceStyle (visual arts)ConstitutionSociologyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The subject of the study was the procedural features of constitutional control that affect the style of constitutional and judicial argumentation. The author sought to identify and analyze the parameters of norm-control activity that determine the content of argumentation techniques, using as an empirical basis of the study the experience of organizing constitutional control in Russia, Australia, Austria, Germany, Israel, Spain, Italy, Canada, USA, Taiwan, France and South Africa. Particular attention was paid to such procedural and procedural factors as the model of constitutional control, the procedure for considering cases, including the specifics of raising questions addressed by judges to participants in court proceedings, the availability of texts of procedural documents, the tradition of presenting the text of a court decision, the number of judges, the collegial procedure for making a decision and the content of the institute of dissenting opinion. Using the concept of argumentation style and identifying the correlation between specific procedural rules and argumentation patterns arising in the practice of constitutional justice, the author outlined the advantages and disadvantages of certain parameters of judicial control over the constitutionality of normative acts. In general, the conducted research allows us to conclude that the institutional environment of norm-controlled activity is formed not only by procedural rules, but also by legal traditions that dominate in a particular state, since the relevance, suitability and relevance of individual argumentation strategies used within the framework of constitutional control largely depend on their compatibility with the nature of legal thinking.

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)0.000
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 score0.939
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.042
GPT teacher head0.329
Teacher spread0.287 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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