Unlocking the Power of Healthy Longevity: Compendium of Research for the Healthy Longevity Initiative
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
Noncommunicable diseases (NCDs) are among the major health and development challenges of our time. Every year, about 41 million people die due to NCDs. This makes up about 74 percent of all deaths globally, the majority of which are in low- and middle-income countries (LMICs). Countless more people live with NCDs every day. Yet, NCDs are largely treatable and preventable. The risk of developing NCDs and deaths from them can both be lowered with appropriate attention to prevention and treatment. However, weak health systems and limited access to affordable care and information, especially in LMICs, contribute to lapses in seeking and receiving appropriate and timely care. This compendium is a compilation of 18 chapters, each exploring a different but related topic in the nexus of NCDs, human capital, and productivity. It is based on a series of analytical work taken up by the World Bank to support the Healthy Longevity Initiative (HLI) - a collaborative effort between the World Bank, the University of Toronto, and key academic and development partners including the Harvard University and the University of Washington. The HLI presents one of a growing set of efforts to increase the urgency of policy response to NCDs across the world.
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 | 0.019 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.010 |
| Insufficient payload (model declined to judge) | 0.001 | 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