Bibliographic record
Abstract
based on Paul's monograph on Imandt.We may note that they both stem from the same village on the Belgian border.Chapter 4 "The Post-Colonial Meeting of Asia and Europe" and Chapter 5 "The Eurasian Space" pertain to Asian Studies developments in the period 1995 to 2010. After decolonisation, interest in relations between Asia and Europe was minimal.A marked upsurge in interest on this topic then became noticeable as awareness grew, both in Asia and Europe, of the necessity for improving relations between the two continents.The International Institute for Asian Studies (IIAS) was very much involved in the so-called Asia-Europe Meeting (ASEM) process.Drawn from the author's co-authored articles on this issue, the development of this process becomes clear.It emphasises the point that it is vitally important to strengthen this process not only for its own sake but also in order to create a strong and stable global, triangular relationship for the 21st century in which Asia, the United States, and Europe form the pillars.The interest in this relationship waned in the second decade of this century but recent developments in the political sphere have brought this issue once more center stage.The next two chapters "Asian Studies for the 21st century" and "The International Convention of Asia Scholars (ICAS)" zoom in on Asian Studies per se and span the period from 1993 until now.Globalisation was the buzz-word in the 1990s and from the first year of its creation in 1993, the IIAS was a promoter of the internationalization of Asian Studies.The IIAS's periodical The Newsletter quickly established itself as a well-read communication channel in the fragmented field of Asian Studies.Many new initiatives were taken by IIAS and the ones Paul was most involved in were ICAS and the multilingual ICAS Book Prize (IBP), which is now in its tenth edition.Paul was co-instrumental in facilitating a dynamic network of what he labelled "New Asia Scholars", those who share a transregional, multidisciplinary and multilingual approach to Asian Studies.This approach lies at the heart of IIAS, ICAS and its book prize.In the closing article of this book, Paul looks back on forty years of publishing during which he has been responsible for several ground-breaking academic series.The love of books is certainly a thing we have shared during our long association and therefore it was my great pleasure to edit this collection of articles which sheds light on the continuing Asian Studies Parade.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.040 | 0.010 |
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".