Interdisciplinary Outreach of Library and Information Science Research as Reflected in “Essential Science Indicators”
Bibliographic record
Abstract
This paper investigates the contribution of LIS research to intellectual growth of other disciplines. 209 highly cited papers has been analyzed to reveal the interdisciplinary patterns. Interdisciplinary journals seem more promising in producing highly cited papers.Cet article analyse la contribution de la recherche en BSI en ce qui concerne la croissance intellectuelle d’autres disciplines. 209 articles fréquemment cités ont été analysés afin de révéler les modèles interdisciplinaires. Les périodiques interdisciplinaires semblent plus prometteurs pour la production d’articles couramment cités.
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 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 | 0.020 | 0.191 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.057 | 0.178 |
| Science and technology studies | 0.001 | 0.015 |
| Scholarly communication | 0.022 | 0.145 |
| Open science | 0.010 | 0.014 |
| 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".