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Record W7100543110

Joint Statement by President Obama and Prime Minister Harper of Canada on Regulatory Cooperation

2011· article· en· W7100543110 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsMandatePrime ministerProsperitySovereigntyTransparency (behavior)Work (physics)Recession
DOInot available

Abstract

fetched live from OpenAlex

United States–Canada Regulatory Cooperation Council (RCC), composed of senior regulatory, trade, and foreign affairs officials from both governments. In recognition of our $1 trillion annual trade and investment relationship, the RCC has a two-year mandate to work together to promote economic growth, job creation, and benefits to our consumers and businesses through increased regulatory transparency and coordination. They have directed that the first meeting of the RCC be convened within 90 days by the relevant agencies in the United States and Canada. The President and the Prime Minister have taken this initiative because they believe that their citizens deserve smarter, more effective approaches to regulation that enhance the economic competitiveness and well-being of the United States and Canada, while maintaining high standards of public health and safety and environmental protection. Improving regulatory cooperation and adopting compatible approaches will lead to greater prosperity on both sides of the border and will in no way diminish the sovereignty of either the United States or Canada or the ability of either country to carry out its regulatory functions according to its domestic and legal policy requirements. The President and the Prime Minister both recognize the crucial importance of such regulatory cooperation as the U.S. and Canadian economies pull out of the recession and confront the challenges of improving

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)0.022
metaresearch head score (Gemma)0.035
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.140
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0140.005
Scholarly communication0.0150.004
Open science0.0040.004
Research integrity0.0280.025
Insufficient payload (model declined to judge)0.0190.005

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 head0.028
GPT teacher head0.220
Teacher spread0.193 · 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
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
Published2011
Admission routes1
Has abstractyes

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