Informationskompetenz als Studienfach?! Eine curriculare Zusammenarbeit von Universitätsbibliothek und Fachdisziplinen
Bibliographic record
Abstract
In diesem Beitrag wird ein seit 2006 an der Universität Regensburg eingeführtes Lehrprogramm für die Schlüsselqualifikation Informationskompetenz vorgestellt. Es zeichnet sich durch die Kooperation von Universitätsbibliothek, Informationswissenschaft und Medieninformatik sowie weiterer Disziplinen aus. Eine weitere Besonderheit ist die Verankerung als Nebenfach im Rahmen der Studiengänge der philosophischen Fakultäten der Universität Regensburg.\n\nWe discuss a program in information literacy, which has been introduced at Regensburg University in 2006. The program has two main characteristics: The strong cooperation of university library, information and computer science, and humanities who\ndefine the support for the information literacy curriculum. At the same time the program is formally established as an integral part of the study programs in the humanities.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.145 | 0.124 |
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".