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
Economic output is shown to be related to population (N) and natural resources (R) by a simple power law.On the basis of the exponents for N and R, called, respectively, the "ingenuity index" (n) and the "technology index" (r), the regions of the world fall into three clusters: high n and high r (Western and Eastern Europe, South America, Australia, New Zealand, the USA and Canada); high n and low r (the USA, the Middle East); and low n and low r (Asia, Africa).Even the highest values (of n) barely exceed unity, however.n was found to be wellcorrelated with other independently obtained exponents characteristic of human ingenuity, such as those governing the number of telephone lines, patents, and the diversity of occupations.The analysis of r reveals that there are two kinds of capital: natural resources and technology, especially information technology.However, endogenous productivity-depressing factors appear to impose intrinsic limits on what ingenuity and technology can achieve.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.029 |
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