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Record W7014918883

On the ‘residuum of powers’ in the great Anglo-American Federations: a neo-Bagehotian-Coasean gloss 
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2016· other· en· W7014918883 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Southern Queensland ePrints (University of Southern Queensland) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCoase theoremFederalismPropositionPresumptionImperfectConstitutionTransaction costSeparation of powersDoctrineFiscal federalismRedistribution (election)
DOInot available

Abstract

fetched live from OpenAlex

In some constitutional designs, federation is based on the doctrine of ‘residuum of powers,’ where one level of government is privileged vis-à-vis the other, and where a concomitant enumeration of powers gives rise to a presumption of a restricted capacity to legislate outside powers so specified. The quintessential examples of this approach are the Federal Constitutions of the United States, Canada and Australia. The Coase theorem explains how and why efficiency in the allocation of these powers emerges regardless of the initial allocation of residuum powers. The analysis confirms this Coasean proposition in an evolutionary context. In all three jurisdictions, regardless of the initial allocation of powers, there is a neo-Bagehotian (evolutionary) shift from the canonical constitution and towards an ‘efficient constitution’—an institution that avoids (transaction) costs. Bargaining between general and special purpose governments allocates powers such that transaction costs are avoided. The paper provides an efficiency definition based on the distinction between symmetric federalism (as seen in the United States and Australia) and asymmetric federalism (as seen in Canada). On aggregate, the locus of this efficiency is either central (as in the case of the United States and Australia), or distributed (as in the case of Canada). Specific examples from all three jurisdictions provide further illustrations. Normatively, further efficiency gains could come from developing (constitutional) legal doctrines that dialogue directly with this evolution.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.013
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.202
Teacher spread0.191 · 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
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

Citations0
Published2016
Admission routes1
Has abstractyes

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