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Public Healthcare and the Limits to a Canadian-Style Inclusive Trade Agenda

2021· article· en· W3125265788 on OpenAlexvenueaboutno aff
Louise Dalingwater

Bibliographic record

VenueInterventions économiques · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthHealth careInternational healthHealth policySafeguardingBusinessGovernment (linguistics)InternationalizationPublic administrationGeneral partnershipGeneral Agreement on Trade in ServicesGlobal healthCorporate governancePolitical scienceEconomic growthInternational tradeFree tradeEconomicsMedicineNursingFinance

Abstract

fetched live from OpenAlex

One of the key tenets of the Progressive Trade Policy agenda (PTA), set forth in the Canadian government’s Report of the Standing Committee on International Trade on the Trans-Pacific Partnership, was the safeguarding of the national government’s rights to regulate in the area of public services, including health services. However, the extent to which such an agenda protects public health care provision is far from certain. While the internationalization of health services has the potential to increase the supply of health services worldwide, a lack of global governance mechanisms to protect the health, and failure to take into account the risks to public health of the internationalization of health services may be highly detrimental to the health of trading nations. This paper draws on theoretical and empirical insights from both health policy research and international political science to analyze the potential effects of further trade openness on public healthcare provision in Canada and the UK.

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)0.017
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.185
Threshold uncertainty score0.945

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0160.026
Scholarly communication0.0200.008
Open science0.0020.010
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0090.000

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 head0.139
GPT teacher head0.350
Teacher spread0.211 · 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 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
Published2021
Admission routes2
Has abstractyes

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