Bibliomaps ‐ a software to create web‐based interactive maps of science: The case of UX map
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Maps of science, allowing the exploration of large‐scale bibliographical datasets, are meeting an increasing interest across a broad range of audiences: students, educators, researchers, policy makers, technology developers, etc. This paper presents BiblioMaps, a freely available software that can be used to create web‐based interactive maps of science. Our toolkit uses a mixture of statistical techniques and similarity measures on bibliographic metadata extracted either from the Web of Science or Scopus. After processing, the data is used in web‐based interactive visualizations. The main visualization is a map of topical clusters ‐ gathering publications based on shared references ‐ whose characteristics can be easily explored in detail. As an example, we discuss some insights gained by exploring maps based on a corpus of about 10,000 “User Experience Design” research publications.
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.013 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it