Bibliographic record
Abstract
The Constitution of Law: Legality in a Time of Emergency , David Dyzenhaus, Cambridge: Cambridge University Press, 2006, pp. xv, 250. This book, which began life as the 2004 J.C. Smuts lectures at the University of Cambridge, is contribution to the burgeoning debate about emergency powers in post-9/11 liberal democracies. States that pride themselves on their commitment to constitutionalism and the rule of law find themselves engaged in the difficult task of suspending or restricting the operation of civil liberties while simultaneously trumpeting their own commitment to the liberal values that they purport to be defending against threat. As Dyzenhaus usefully reminds us, the predicament is not a new one. Smuts himself not only survived being on the wrong side of a colonial insurrection but, before becoming prime-minister of South Africa and a leading architect of apartheid (a paradigm example of injustice carried on under colour of legality), played a walk-on role in legal opposition to the notorious DORA, the Defence of the Realm (Consolidation) Act that allowed detention without trial in the United Kingdom during the First World War. These are murky waters, indeed.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".