A Global Law of Diversity : Evolving Models and Concepts
Bibliographic record
Abstract
<p>This book provides a global perspective on the accommodation of diversity within constitutional traditions, considering the most innovative approaches and legal instruments of the Global North and Global South. This field of study, traditionally dominated by a Global North approach based on majority-minority and rights-based discourse, is undergoing significant development. The work thus assesses the appropriateness of the existing mainstream theoretical tools and concepts – in particular minority and minority-related concepts as well as rights discourse – to grasp the ongoing evolution of this field of law. A reconsideration of the traditional conceptual categories and the introduction of the concept “Law of Diversity” is proposed as a theoretical framework to grasp the ongoing developments in this area. Among the models studied, those that are referred to as emergent models for the accommodation of diversity in the Global North appear to be particularly in need of theoretical recognition. To this end, the theory of federalism is used to serve a rather unexplored theoretical function. Federal theory is put forward as a theoretical instrument to frame and explain the emergent instruments for the accommodation of diversity, as well as provide practical solutions for their development. The book will be of interest to researchers, academics, and policy-makers working in the areas of comparative constitutional law, minority and indigenous rights law, and federal studies.</p><p>The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.</p>
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.009 |
| Open science | 0.002 | 0.028 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".