LIBER MARC Harmonization Task Force - Format activities in European countries
Bibliographic record
Abstract
The LIBER MARC Harmonization Task Force has its origins in an initiative of the past President of LIBER, Professor Elmar Mittler from the Göttingen State and University Library. Professor Mittler asked Dr Elisabeth Niggemann from Die Deutsche Bibliothek to take part in the meeting of the MARC Harmonization Coordinating Committee in Ottawa in May 2001. Following that meeting the LIBER MARC Harmonization Task Force was founded at the LIBER Annual Conference in July 2001 in London. The LIBER MARC Harmonization Task Force held its first meeting on 14 January 2002 at Die Deutsche Bibliothek Frankfurt am Main, with the aim of gaining an overview of format activities in Europe. The group's aim was to concentrate on European developments and to build up stronger cooperation in the library world in order to strengthen Europe's international influence. The LIBER MARC Harmonization Task Force held a second meeting at the IFLA 2002 Conference in Glasgow and discussed the first draft of its report and recommendations to LIBER. After final discussion within the group, this report has been further revised and was submitted to LIBER. The aim of the report is to give an overview of format activities in European countries and to make recommendations to LIBER regarding the use and development of data formats in Europe. The annex includes reports on migration activities from different countries. The report is based on information on data formats collected and compiled on the basis of a questionnaire distributed to the Conference of European National Librarians (CENL). Cataloguing issues were further discussed at the 1st IFLA Meeting of Experts on an International Cataloguing Code held in Frankfurt in July 2003. Further meetings will be held at the IFLA conferences in Buenos Aires (2004) and Seoul (2006).
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How this classification was reachedexpand
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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.016 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".