A Liberal Treatment of Illiberal Minorities
Bibliographic record
Abstract
The question of minority treatment, and illiberal minority treatment in particular, is an often contended subject among political philosophers. As most Western liberal democracies are multicultural it seems that this topic will remain relevant for a long time to come.\nThis thesis presents the arguments of both autonomy liberalism and toleration liberalism in respect to the treatment of illiberal cultures within a liberal democratic state. While the arguments for toleration-based approach to liberalism are acknowledged and discussed, I devote a significant portion of this work to the defence of personal autonomy as the fundamental value within liberalism, as well as a value necessary to be acknowledged even by illiberal immigrant groups residing within a liberal democracy. Literature on the subject by well-established political philosophers is often focused solely on examples relevant to the United States of America, Canada or United Kingdom. The scope of this thesis is aimed at cases and national minorities relevant to Western Europe.\nThe limits to toleration of illiberal minorities, which I establish in chapter 3, are in large part influenced by my understanding of personal autonomy as the fundamental value of liberalism, as well as by my interpretation of Raz's perception of personal value in both liberal and illiberal states.\nThe differentiation of national minorities relevant to Europe from those relevant to the American continent is the focus for selecting the guiding principles for the evaluation of self-government claims of said minorities, a topic to which the entire chapter 4 is devoted.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".