Bibliographic record
Abstract
In an earlier volume, I argued that state policies based on ethno-racial essentialism were undesirable and that accommodative liberalism provided a commendable alternative, enabling states to take seriously the need for ethnic groups to protect their cultural institutions and respective identities without resorting to essentialist assumptions. These arguments have since been subject to critical scrutiny by Lim Chin Leng in his essay, "Multicultural Constitutionalism." I respond to Lim's criticisms, arguing: (a) that accommodative liberalism takes group rights seriously and does not collapse into atomistic individualism; (b) that accommodative liberalism can protect group rights without resorting to essentialist assumptions; and (c) that despite its parochial origins in western political thought, accommodative liberalism does have something to contribute to the wider debate about multicultural policy, even in Southeast Asia. Accommodative liberalism, I argue, represents a plausible attempt to construct a "big tent"--a flexible approach to pluralism and tolerance in diverse societies.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.056 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.011 |
| 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".