Bibliographic record
Abstract
In this article, I critically evaluate the positions of Professors Jeremy Waldron and W.J. Waluchow on the right-based merits of entrenched constitutions and strong judicial review. I support Waluchow in arguing that (i) prohibitions on the constitutional entrenchment of rights and resultant prohibitions of strong judicial review may be only superficially fair or democratic, since fair procedure alone can neither eliminate pre-existing inequalities nor ultimately take the autonomy vital to self-governance seriously (whether individual or collective). Secondly, (ii) if deep dissensus fails to exist on all substantive matters of rights, the constitutional entrenchment of rights combined with strong judicial review can indeed be achieved fairly. I then propose that (iii) the anti-constitutionalist concern about being governed by the ‘dead hand of the past’ is self-refuting, for the alternative is simply another constraint on autonomy. While this is largely consistent with Waluchow's position vis-a-vis Waldron's majoritarianism, I end by expressing serious concerns regarding whether the common law (and the ‘constitutional morality’ that Waluchow claims can be derived from it) can act as a sufficiently robust basis for the protection of liberal and egalitarian rights.
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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 | 0.015 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.040 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".