Trade, investment and public health: compiling the evidence, assembling the arguments
Bibliographic record
Abstract
Trade has long been an axiomatic characteristic of globalization, although international rules governing trade are of more recent vintage. Notably in the post-World War II period, an ever increasing number of countries began negotiating treaties to reduce, first, tariff barriers and, later, non-tariff barriers (government measures of any sort) that could impede the cross-border flow of goods. The rationale, in part, was that countries that became more entwined economically would be less likely to go to war with each other. It wouldn't be in their own economic interests to do so, or at least that of the firms based within their borders but engaged in transnational trade and dependent upon global supply chains. At first primarily an undertaking of developed (high-income) countries, developing (low and middle-income countries) slowly enjoined in what, in 1995, became the World Trade Organization. The WTO locked in scheduled declines in tariffs (border taxes), albeit with lesser obligations on developing country members (a problematic nomenclature given the vast geographic, economic, and development differences between such countries, but which nonetheless persists within the WTO). Importantly, a slew of new agreements that coincided with the establishment of the WTO also sought to liberalize trade in services (not just goods) (The General Agreement on Trade in Services), create new rules for agricultural trade (Agreement on Agriculture), expand intellectual property rights protections (The Agreement on Trade-Related Aspects of Intellectual Property Rights), limit trade-distorting government subsidies (Agreement on Subsidies and Countervailing Measures), and ensure that government food, health, or environmental regulations would not pose an unnecessary barrier to trade (the Technical Barriers to Trade and the Sanitary and Phytosanitary Measures Agreements). Outside of the WTO system, bilateral or regional investment treaties granting special rights to foreign investors to sue governments for actions perceived to affect the value of their investment (such as direct expropriation or passage of new laws and regulations considered 'tantamount to expropriation') similarly exploded in number, dispute frequency, and the size of monetary claims. The breadth and depth of these post-1995 Agreements meant that few areas of general public health concern are potentially untouched.
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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 | 0.035 | 0.120 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.024 | 0.027 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.019 | 0.024 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".