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 Sub-Saharan countries in Africa are evaluated to determine if conditions exists to cause some to develop the Dutch disease. Two groups are assembled from the study population: those with natural resources rents under 8% of GDP, and those over. Both groups show tendencies for higher resources rents than the baseline World readings. Both groups also experience decreases in both the agriculture and manufacturing sectors during the study period. In addition, both groups see increases in personal remittances received by the host countries. All of these are ingredients which signal potential Dutch disease. In addition to the two group comparisons, individual country assessments are conducted which identify 13 of the 49 countries, or 26.5%, as having conditions which would support the Dutch disease diagnosis. Measurements for the study are taken from the World Bank databank website and categorized into two sections, economic configuration and money flows, for further focus. The study includes discussions on natural resources development, globalization, institutions, the Dutch disease, remittances, and investments.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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