„Wenn man jemanden kennt, der sich auskennt ...“ : Erkenntnisse aus einer Studie zum Informationsverhalten in den Biowissenschaften nach Sonnenwalds „Information Horizons“
Bibliographic record
Abstract
Zielsetzung der hier prasentierten Studie ist der Erkenntnisgewinn uber Informationsprozesse, -ressourcen und -bedurfnisse in der biowissenschaftlichen Grundlagenforschung, um so zu einer Einschatzung von zukunftsfahigen bibliothekarischen Dienstleistungen fur diese Zielgruppe zu gelangen. Methodisch wird das Modell der „Information Horizons“ der Informationswissenschaftlerin Diane Sonnenwald zugrunde gelegt. Demnach erfolgt die Datenerhebung mittels narrativer Interviews und der Analyse von Zeichnungen, in denen die Studienteilnehmer ihre Informationsprozesse verbildlichen.
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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 | 0.020 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.015 |
| Scholarly communication | 0.012 | 0.023 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".