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Record W7048415395

A Liberal Treatment of Illiberal Minorities

2013· dissertation· en· W7048415395 on OpenAlexaboutno aff

Bibliographic record

VenueLeiden Repository (Leiden University) · 2013
Typedissertation
Languageen
FieldEngineering
TopicPhotocathodes and Microchannel Plates
Canadian institutionsnot available
Fundersnot available
KeywordsTolerationLiberalismValue (mathematics)PoliticsAutonomyLiberal democracyDemocracyMulticulturalism
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.175
Teacher spread0.168 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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