Dignity in Judgment. Constitutional Adjudication in Comparative Perspective
Bibliographic record
Abstract
Dignity is a complex philosophical, theological, and constitutional concept. Courts have often progressively distanced the notion of dignity in constitutional law from its religious connotation to emphasize individual autonomy and self-determination. This process has made the notion of dignity less ambiguous, but narrower and more controversial. Dignity in Judgment: Constitutional Adjudication in Comparative Perspective compares how the apex courts of Canada, Colombia, Egypt, the EU, and Israel operationalize the concept of dignity in their case law. While these countries share an Abrahamic faith and secularization tendencies, these legal systems host a plurality of societal values, and their courts have the reputation of having an activist approach to adjudication. This book offers an in depth-analysis of key decisions that reflect or use the concept of dignity, including capital punishment, antiterrorism measures, biotechnologies, and same-sex relations to build a model of human dignity that facilitates mutual understandings among and within legal traditions. It shows how religious and secular understandings of dignity have shaped its interpretation through the decades. Dignity in Judgment explores the concept of dignity as it appears in the law by uncovering its character across different legal cultures and religious contexts.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.024 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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.
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".