Policy coherence, health and the sustainable development goals: a health impact assessment of the Trans-Pacific Partnership
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The international community, comprised of national governments, multilateral agencies and civil society organisations, has recently negotiated a set of 17 sustainable development goals (SDGs) and 169 targets to replace the Millennium Development Goals, which expired in 2015. For progress in implementing the SDGs, ensuring policy coherence for sustainable development will be essential. We conducted a health impact assessment to identify potential incoherences between contemporary regional trade agreements (RTAs) and nutrition and health-related SDGs. Our findings suggest that obligations in RTAs may conflict with several of the SDGs. Areas of policy incoherence include the spread of unhealthy commodities, threats to equitable access to essential health services, medicines and vaccines, and reduced government regulatory flexibility. Scenarios for future incoherence are identified, with recommendations for how these can be avoided or mitigated. While recognising that governments have multiple policy objectives that may not always be coherent, we contend that states implementing the SDGs must give greater attention to ensure that binding trade agreements do not undermine the achievement of SDG targets.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it