Bibliographic record
Abstract
TablesContributorsAbbreviations1. Introduction (Kyoko Sheridan)PART I The East Asian economies: industrial 'models' for the region.2. Japan's economic system (Kyoko Sheridan)3. Taiwan's Economic Success (Fred Robins)4. Emergence and Transformation of the South Korean Model (Sejin Pak)PART II The South-East Asian Economies: second tier Asian economies5. The ASEAN economies: growth and changes in newly-emerging socio-economic systems (Bruce McFarlane)6. The state and capitalist development in the Philippines (Bruce McFarlane) 7. Indonesia: The changing balance of commercial power? (Colin Brown)8. Overseas Chinese business in South East Asia (Colin Brown)PART III Market socialism in Asia9. Market socialism in South-East Asia: economics, society and politics in Vietnam, 1975-96 (Melanie Beresford and Bruce McFarlane)10. The Russian economy in transition: an overview (Louis Haddad)11. China (Richard Pomfret)12. Conclusion (Kyoko Sheridan)
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.019 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.007 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".