Constitutional culture, independence, and rights insights from Quebec, Scotland, and Catalonia
Bibliographic record
Abstract
In Constitutional Culture, Independence, and Rights, Javier García Oliva and Helen Hall coin the term "constitutional culture" to encapsulate the collective rules and expectations that govern the collective life within a jurisdiction. Significantly, these shared norms have both legal and social elements, including matters as diverse as standards of parenting, the modus operandi of police officers, and taboos around sexuality. Using Quebec, Scotland, and Catalonia as case studies, the book delves into what these constitutional battles mean for the rights, identity, and needs of everyday people, and it powerfully demonstrates why the hypothetical future independence of these regions would have far-reaching practical consequences, beyond the realm of political structures and academic theory. The book does not present a magic bullet to resolve debates around independence – this is not its purpose, and the text in fact demonstrates why there is no objectively optimal approach in any or all contexts. Instead, it seeks to shed light on aspects of these situations often overlooked in discussions around the fate of nations, and it addresses what the consequences of constitutional paradigm shifts might be for individuals. Constitutional culture is a complex web of interconnected understandings and behaviours, and the vibrations from shaking or cutting a fundamental strand will be felt throughout the structure.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".