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Record W1969308910 · doi:10.1111/1469-8219.00001

Normative Justifications for Liberal Nationalism: Justice, Democracy and National Identity

2001· article· en· W1969308910 on OpenAlexaff
Margaret Moore

Bibliographic record

VenueNations and Nationalism · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNationalismArgument (complex analysis)NormativeDemocracyNationalityIdentity (music)National identityEconomic JusticeSociologyPolitical scienceLiberal democracyLawValue (mathematics)Law and economicsPolitical economyImmigrationPolitics

Abstract

fetched live from OpenAlex

The essay examines a prominent normative defence of nationalism, which links shared nationality with the attainment of the goods of liberal justice and democratic governance. The essay first considers the argument that liberal values, and especially the value of social justice, will best be promoted in states whose members share a common nationality. In its strong form, this argument is vulnerable to counter‐instances. A weaker version, which claims that in states divided in terms of national identities, social justice may be precarious over the long term, is more plausible. The second part of the essay argues that there is a close relationship between democracy and shared national identity. This section spells out precisely how a common national identity is helpful both for representative institutions to function properly and for widespread participation on the part of ordinary citizens.

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)0.006
metaresearch head score (Gemma)0.012
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 score0.007
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.033
Scholarly communication0.0070.007
Open science0.0010.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.090
GPT teacher head0.410
Teacher spread0.320 · 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

Citations115
Published2001
Admission routes1
Has abstractyes

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