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Record W3035769280 · doi:10.1080/13597566.2020.1781097

Multinational federalism: challenges, shortcomings and promises

2020· article· en· W3035769280 on OpenAlexaff
Alain‐G. Gagnon

Bibliographic record

VenueRegional & Federal Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsFederalismMultinational corporationPanacea (medicine)DemocracyPoliticsLaw and economicsAutonomyPolitical sciencePolitical economyPublic administrationSociologyEconomic systemEconomicsLaw

Abstract

fetched live from OpenAlex

Democratic multinational federalism is not to be conceived as panacea but as a concrete way of achieving three key objectives that are essential for the management of conflicts, namely (1) decoupling and distinguish the notions of ‘nation’ and ‘state’, (2) strengthening a sense of identity through the implementation of politics of recognition and (3) developing a better equilibrium between self-rule and shared rule through the implementation of a multiplicity of collaborative initiatives while valuing the principle of political autonomy. Multinational federalism can lead the way in developing policy instruments that put limits to the domination of the majority nation over other national groups. To the extent that minority nations are treated fairly, one would expect that state stability would be greatly augmented and that constitutional loyalty would gain prominence. Self-restraint on the part of the majority nation is more a guarantee of success than the imposition of norms.

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)0.021
metaresearch head score (Gemma)0.024
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: Review · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0050.012
Scholarly communication0.0100.012
Open science0.0020.006
Research integrity0.0050.007
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 head0.194
GPT teacher head0.368
Teacher spread0.174 · 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
GenreReview

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

Citations34
Published2020
Admission routes1
Has abstractyes

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