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Record W2567953573

On the ‘residuum of powers’ in the great Anglo-American Federations: a neo-Bagehotian-Coasean gloss

2016· article· en· W2567953573 on OpenAlexaboutno aff
Benjamen Gussen

Bibliographic record

VenueSwinburne Research Bank (Swinburne University of Technology) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsnot available
Fundersnot available
KeywordsCoase theoremFederalismSeparation of powersConstitutionPresumptionEconomicsLaw and economicsTransaction costVetoPolitical scienceLawMicroeconomicsPolitics
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. \nThe 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\n) 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\nthis 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)0.002
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 score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.018
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.036
GPT teacher head0.312
Teacher spread0.276 · 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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