When actions do not match aspirations - comparison of the European Union policy claims against what has been negotiated for health services, trade and investment
Bibliographic record
Abstract
BACKGROUND: Obligations arising from trade and investment agreements can affect how governments can regulate and organise health systems. The European Union has made explicit statements of safeguarding policy space for health systems. We assessed to what extent health systems were safeguarded in trade negotiations using the European Union (EU) negotiation proposals for the Transatlantic Trade and Investment Partnership (TTIP) and the negotiated agreement for the EU-Canada Comprehensive Economic and Trade Agreement (CETA). METHODS: We assessed if and to what extent the European Union policy assurances were upheld in trade negotiations. Our assessment was made using three process tracing informed tests. The tests examined: i) what was covered in negotiation proposals of services and investment chapters, ii) if treatment of health services differed from treatment of another category of services (audiovisual services) with similar EU Treaty considerations, and iii) if other means of general exceptions, declarations or emphases on right to regulate could have resulted in the same outcome. RESULTS: Our analysis shows that the European Union had sought to secure policy space for publicly funded health services for services chapter, but not for investment and investment protection chapters. In comparison to audiovisual services, exceptions for health services fall short from those on audiovisual services. There is little evidence that the same outcome could have been achieved using other avenues. CONCLUSIONS: The European Union has not achieved its own assurances of protection of regulatory policy space for health services in trade negotiations. The European Union trade negotiation priorities need to change to ensure that its negotiation practices comply with its own assurances for health services and sustainable financing of health systems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.092 | 0.186 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".