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Record W7064957280

Constitutional Courts, Media and Public Opinion

2023· book· en· W7064957280 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutial research information system (University of Pisa) · 2023
Typebook
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimacyPublic opinionSupreme courtPoliticsConstitutional lawJudicial reviewConstitutional economicsTransparency (behavior)Separation of powersPolitical communication
DOInot available

Abstract

fetched live from OpenAlex

CONSTITUTIONAL COURTS, MEDIA AND PUBLIC OPINION This book explores how constitutional courts have transformed communication and overcome their reluctance to engage in direct dialogue with citizens. How has the information revolution affected the relationship of constitutional courts with public opinion and the media? The book looks in detail at the commu- nication strategies of the US Supreme Court, the Supreme Court of Canada, and in Europe the German Federal Constitutional Tribunal, the French Conseil Constitutionnel and the Italian Constitutional Court, arguing that when it comes to the relationship between courts and the media, different jurisdictions share many similarities. It focuses on the consequences of the communication revolu- tion of courts both in terms of their relationship with public opinion and of the legitimacy of judicial review of legislation. Some constitutional courts have attracted criticism by engaging in proac- tive communication and, therefore, arguably yielding to the temptation of public support. The book argues that objections to the developing institutional communi- cations employed by courts originate from the traditional understanding of public opinion concerning political branches. It considers the burden the communica- tion revolution has placed on constitutional courts to achieve a balance between transparency and seclusion, proximity and distance from public opinion. It puts forward important arguments for how this balance can be achieved. The book will interest scholars in constitutional law and public comparative law, sociologists, historians, political scientists, and scholars of media law and communication studies. Volume 30 in the series Hart Studies in Comparative Public Law

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.870
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.067
GPT teacher head0.294
Teacher spread0.228 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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