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Record W2801629777 · doi:10.24908/fede.v19i1.8679

Canada’s Inevitable Evolution Towards Bilateral Spending

2018· article· en· W2801629777 on OpenAlexaffvenueabout
Kymone Fletcher

Bibliographic record

VenueFederalism-E · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFederalismSubsidyJurisdictionGovernment (linguistics)Political scienceFederal jurisdictionCooperative federalismState (computer science)Public administrationPower (physics)New FederalismLaw and economicsLawEconomicsPolitics

Abstract

fetched live from OpenAlex

The federal government should be allowed to provide condition free funding within the provincial jurisdiction. Canada is naturally evolving towards intrastate federalism and a more collaborative government and this evolution has been apparent since the BNA act was formulated.In the BNA act the Canadian provinces were promised ongoing grants/subsidies and we have also seen in Quebec’s case, they opted for a more collaborative form of government for wanting to be represented more at the federal level. It has also been demonstrated that each level of government in Canada’s federal system must be autonomous in its own right or else the system will collapse. Stephen Harper and Justin Trudeau views have also been presented to illustrate this. The cases of the United States and Germany have also been brought up to show that not only Canada, but other federal states are redefining what federalism means and re-interpreting their own respective constitutions to bring this new definition into action. The case of Quebec has also been brought up to demonstrate how the biggest players in the Canadian system, how Canadian policy can be updated to limit the amount of critics towards how the federal power is spending its money. 
 
 
 
 

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.543
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.023
GPT teacher head0.285
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2018
Admission routes3
Has abstractyes

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