Bibliographic record
Abstract
The International Council for Scientific and Technical Information (ICSTI) held its 2008 Public Conference in Seoul, Korea from 11th to 12th June, 2008. This was a departure from recent practice – it has been more typical for ICSTI public conferences to be held in Europe and North America. The decision to hold the 2008 Summer Conference in Korea was fully vindicated by the results. It was a very well organised event for which the local host – Korea Institute of Science and Technology Information (KISTI) – can claim full credit. Attendance was well over three hundred, some two to three times the usual ICSTI numbers at such events. Each attendee received a comprehensive programme guide and proceedings which proved invaluable as support material for the presentations. Leading experts from across the world shared their views and experiences with the audience. Included within the programme was the formal international launch of a major new initiative sponsored by ICSTI. Overall the logistics went very smoothly and professional staff ensured that the conference at the CODEX International Hotel, and the related social programmes, were a great success. This was a perfect template for a revitalised ICSTI and sets a standard for future conferences including the 2009 to be held under CISTI’s auspices in Canada. Everyone involved in the Seoul 2008 Public Conference, particularly the local hosts KISTI, are to be congratulated for their organisation and attendance to detail.
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 | 0.026 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.028 | 0.036 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.107 | 0.061 |
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".