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Record W2303853164 · doi:10.21991/c96d5v

CULTURES, LANGUAGES, NATIONS: CONCEPTIONS AND MISCONCEPTIONS*

2011· article· en· W2303853164 on OpenAlexvenueno aff
Kenneth McRoberts

Bibliographic record

VenueConstitutional Forum / Forum constitutionnel · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsRealmState (computer science)Ideal (ethics)Nation stateGlobalizationMonopolyPolitical sciencePolitical economyImmigrationLawSociologyPoliticsEconomicsMarket economy

Abstract

fetched live from OpenAlex

It has become a commonplace that the nation- state is dead — or at least is in mortal danger. Its capacity as a state has been severely eroded by the forces of globalization and regional integration: supra-national organizations and global corporations have assumed powers and prerogatives which, within the nation-state ideal, belong to the state. But the nation-state has lost more than its state; it has also lost its nation – in part because of these very external forces. Whereas the nation- state ideal presumed that a single national language would prevail throughout its territory, languages with deep historical roots have reappeared within the same state. In some cases, this has involved the revival of long dormant languages — as in Wales or Scotland — but in other cases it has meant the return to public space of languages that had been excluded, indeed banned, as was Catalan under the Franco regime. In some settings immigration has served to break the national language’s monopoly by reinforcing other languages, as in the United States, where Spanish has gone from being a marginal, and essentially private language, to a major one that is increasingly intruding into the public realm despite the erstwhile efforts of some English-only advocates to keep it out.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.010
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.307
Teacher spread0.274 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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