Bibliographic record
Abstract
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 communication 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 revolution 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 proactive communication and, therefore, arguably yielding to the temptation of public support. The book argues that objections to the developing institutional communications employed by courts originate from the traditional understanding of public opinion concerning political branches. It considers the burden the communication 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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".