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Record W4211055638 · doi:10.1017/cbo9780511490224

Minorities within Minorities

2005· book· en· W4211055638 on OpenAlexaboutno aff

Bibliographic record

VenueCambridge University Press eBooks · 2005
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsMinority rightsNormativeMulticulturalismDemocracyLiberalismAutonomyFeminismPolitical scienceGender studiesPoliticsDeliberative democracyState (computer science)SociologyPolitical economyLaw

Abstract

fetched live from OpenAlex

Most discussions of multiculturalism and group rights focus on the relationship between the minority and the majority. This volume advances our understanding of minority rights by focusing on conflicts that arise within minority groups and by examining the different sorts of responses that the liberal state might have to these conflicts. Groups around the world are increasingly successful in maintaining or winning autonomy. In light of this trend, a crucial question emerges: what happens to individuals within groups who find that their group discriminates against them? This volume brings together distinguished scholars who examine this question by weaving together normative political theory with case studies drawn from South Africa, the United States, India, Canada, and Britain. Classical liberalism, deliberative democracy, feminism, and associative democracy are among the theoretical frameworks used to offer solutions to the complex set of issues raised by minorities within minorities.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0060.004
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.049
GPT teacher head0.258
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations189
Published2005
Admission routes1
Has abstractyes

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