East Asia Update, November 2004 : Steering a Steady Course
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
This report discusses the number of \n cross-currents and risks within and without the East Asia \n region. One of the concerns discussed is the steep spike in \n world oil prices, which will reduce incomes among the \n majority of economies in the region that are net energy \n importers, as well as among the developed nations which \n comprise Emerging East Asias major extra-regional export \n markets - the United States, Japan and Europe. The report \n also reviews the affects of oil prices, as well as a variety \n of domestic factors and the fact that growth in the \n developed world shifted to a lower pace in the second \n quarter of 2004, most notably in Japan and to a lesser \n extent in the U.S., while monthly indicators suggested \n softening activity in Europe in the third quarter. Also \n discussed is the growth pause in the developed world and the \n likelihood of another cyclical downturn in the global high \n tech industry, a concern for East Asia which is now the \n leading location for manufacturing and assembly in this \n industry. The study notes that East Asian decision makers \n are also giving much attention to the outlook for China.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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