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Record W4401382448 · doi:10.3138/ijcs-2023-0008

Provincial Autonomy and the 2023 Federal-Provincial Healthcare Deal: A Federalism Deficit at Work?

2024· article· en· W4401382448 on OpenAlexaffvenueabout
Alina Hart, Félix Mathieu

Bibliographic record

VenueInternational Journal of Canadian Studies · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsFederalismAutonomyWork (physics)Health carePublic administrationPolitical scienceLawPoliticsEngineering

Abstract

fetched live from OpenAlex

The fallout of the COVID-19 pandemic put enormous strain on healthcare services across the country, leading Canadian premiers to call on the federal government to negotiate a new healthcare deal. The dynamics of these negotiations received extensive media coverage and highlighted some of the most fundamental issues in Canadian federalism. The objective of this article is to explore whether the 2023 healthcare negotiations were conducted in accordance with core federalism principles (e.g. autonomy, constitutionalism, partnership), or if they rather reflect some form of federalism deficit. More specifically, it asks whether, and to what extent, provincial autonomy was challenged through conditional federal funding to health care. The authors conclude that the formal division of constitutional powers is blurred through the federal government’s use of its “spending power,” and that the state of intergovernmental relations in Canada has undermined the principle of equal partnership between Ottawa and the provinces within the federal system.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.913
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.068
GPT teacher head0.303
Teacher spread0.235 · 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
Published2024
Admission routes3
Has abstractyes

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