miń ski Academy of Entrepreneurship and Management (WSPiZ) and TIGER Distinguished Lectures Series n. 16
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
Grzegorz W. Kołodko: Considering the fact that China is the most populous country in the world – having roughly 1.3 billion inhabitants, that is 20 or so percent of the global population – remarkable economic expansion of its economy and fast growth of output and standards of living of Chinese people over the last quarter of a century should be considered as one of the greatest economic achievements in the mankind’s history. Such growth has also significant social consequences. Never during such short, on the historical scale, period of time so many people – no less than 300 million – have been advanced from the pool of the people considered to live before in poverty. China’s economic growth is not only fascinating in its own dimension, but on the relative scale as well. To bring this point to the fore, it is enough to compare the rate of growth of China’s GDP, since the market-oriented reforms have started in 1978, with the rate of GDP growth of the world economy on the average, on the one hand, and especially with the pace of growth of GDP in other countries in transition from the former socialist centrally planned system to the open market economy. It is clearly seen especially since after 1989, that is the beginning of accelerated transformation of the East Central European economies and the republics of the former Soviet Union. Chart 1: The winners and the loosers of globalization and transition GDP growth (1989=100) 0
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