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Record W2974466238 · doi:10.1515/9780773552487

A Liberal Theory of Collective Rights

2017· book· en· W2974466238 on OpenAlexaff
Michel Seymour

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2017
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceLaw and economicsSociology

Abstract

fetched live from OpenAlex

Most states are multination states, and most peoples are stateless peoples. Just as collectives can behave as sovereign states only if they are recognized by the international community, liberal multination states must recognize stateless peoples in order to determine their political status within that state. There is, however, no agreement on the kind of principles that should be considered, especially under classical liberalism, which gives individuals preeminence over groups. Liberal theories that attempt to accommodate collective rights are often based on a comprehensive version of liberalism that subscribes to moral individualism. Within such a framework, they develop a watered-down concept of collective rights. In A Liberal Theory of Collective Rights Michel Seymour explores the theoretical resources of John Rawls’s political liberalism and shows that this particular approach can accommodate genuine collective rights. By Rawls’s account, Seymour explains, peoples are moral agents and sources of valid moral claims and are therefore entitled to collective rights. These kinds of rights translate, in the constitution of the multination state, to a true political recognition for stateless peoples. Ultimately, A Liberal Theory of Collective Rights answers three important questions: Who is the subject of collective rights? What is the object of collective rights? And can they be institutionalized in real politics?

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)0.002
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 score0.006
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.025
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.002

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 head0.037
GPT teacher head0.266
Teacher spread0.229 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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