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Record W2417699727 · doi:10.1057/9781137016744_2

Multinational Federalism in Multinational Federation

2012· book-chapter· en· W2417699727 on OpenAlexaboutno aff
Michael Burgess

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismNationalityEliteNationalismState (computer science)Political sciencePoliticsMultinational corporationNational QuestionConstructivePolitical economyLawSociologyImmigration

Abstract

fetched live from OpenAlex

In a seminal paper titled 'Federalism and the Making of Nations' first published in an edited volume of essays in 1955, Kenneth Wheare reflected upon the limits and possibilities of using the federal idea as a device for 'bringing nations together, for preserving them and at the same time developing over and above their feelings of distinct nationality, a sense of common nationality' (Wheare, 1962, pp. 29–30). In the same year, Pierre Trudeau, a future prime minister of Canada, also observed in a famous essay titled the 'New Treason of the Intellectuals' that by separating 'once and for all the concepts of state and of nation' it was possible to 'make Canada a truly pluralistic and polyethnic society' (Trudeau, 1968, p. 177). It was perfectly possible, in his view, for French Canadians to 'lead the way toward making Canada a multi-national state' (Trudeau, 1968, pp. 164–65). Clearly, both men believed that the relationship between federalism and nationalism was one that could be imaginative, constructive and innovative in the realms of practical government and politics, even if the likelihood was that such a project would require exceptional political wisdom and elite leadership skills together with a realistic acceptance that at the very outset instability would be immanent in the state.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.030
GPT teacher head0.286
Teacher spread0.256 · 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 teacher head, not a consensus.

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

Citations10
Published2012
Admission routes1
Has abstractyes

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