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Group Rights and Shared Interests

2012· article· en· W1597855413 on OpenAlexaff
Adina Preda

Bibliographic record

VenuePolitical Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversité de Montréal
FundersUniversity College Dublin
KeywordsArgument (complex analysis)Law and economicsNormativePoliticsPolitical philosophyFundamental rightsLawGroup (periodic table)SociologyOrder (exchange)Political scienceHuman rightsEconomics

Abstract

fetched live from OpenAlex

One challenge in contemporary political philosophy is to reconcile groups' claims for rights and collective self-determination with a liberal commitment to the priority of individuals' rights and well-being. A solution to this puzzle may rest on a justification of group rights based on shared individual interests. This presupposes the collective conception of group rights, which does not entail that a group has to be conceived of as a distinct entity, with an independent moral standing. Such a strategy would thus not lead to conflicts between the rights of a group and those of its individual members. This article argues that this strategy does not succeed in justifying genuine group rights. Shared interests cannot ground rights held by a group qua group, especially the kind of rights that national or cultural groups demand. The conclusion of this argument is that the interest theorist has to embrace a view of groups as distinct entities in order to ascribe them rights qua group. So the upshot of this article is that communitarian or full-blown nationalist justifications of collective rights may be more coherent than some liberal attempts although probably less plausible and more problematic from a normative point of view.

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)0.012
metaresearch head score (Gemma)0.009
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.052
Scholarly communication0.0080.009
Open science0.0010.010
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.186
GPT teacher head0.432
Teacher spread0.247 · 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
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

Citations5
Published2012
Admission routes1
Has abstractyes

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