ABDOS (Radna zajednica biblioteka i dokumentacionih centara za istraživanje istočne, srednje i jugoistočne Evrope)
Bibliographic record
Abstract
The working Community of Libraries and Centers of Documentation for research of Eastern, Middle\nand South East Europe (ABDOS) was founded in 1971, as an informal Association of Directors of German\nlibraries and Institutions, which was engaged in research of Eastern, Middle and South East Europe. The Goal of\nits foundation was to accelerate the sharing of information between Institutions that are collecting, handling and\ngiving for usage the literature from Eastern Europe, as well as literature about Eastern Europe. Until today, thirty\nABDOS Sessions were held. From small meetings, in the beginning, held in Germany, ABDOS turned into\nrenowned Iinternational Association (this year it will be institutionalized). From 1990. Sessions take the rank of\nConference, with the participation of Librarians from America and Canada. Since 1984. discussions from\nSessions were published in the Codes in the frame of the Collection "Staatsbibliothek zu Berlin – PreuLischer\nKulturbesitz – Vergffentlichungen der Osteuropa-Abteilung". The Editorial department of ABDOS regularly\npublishes the Informative Bulletin "Mitteilungen", within Information about changes in Libraries, which are members of ABDOS, and an important part in this bulletin is dedicated to preparations for annual Meetings.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.067 | 0.046 |
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".