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
T hrough most of the twentieth century, only those in the high-incomeindustrial countries, less than one-fifth of the world’s population, haveenjoyed the fruits of economic well-being. However, since 1980, China and India have achieved remarkable rates of economic growth and poverty reduction— and taken together, these countries comprise over a third of the world’s popula-tion. The emergence of China and India as major forces in the global economy has been one of the most significant economic developments of the past quarter century. This paper examines sources of economic growth in the two countries, com-paring and contrasting their experiences over the past 25 years. In many respects, China and India seem similar. Both are large geographically and have enormous populations that remain very poor. In 1980, both had extremely low per capita incomes. The World Bank and the Penn World Tables show GDP per capita for India was roughly equal to the World Bank’s 1980 average for all low-income countries, while per capita GDP for China was about two-thirds of the estimate for
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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