Bibliographic record
Abstract
Data in online archives and services are repositories of human knowledge and facts related to the lives of people. Information is visualized in a spatial domain representation that includes text structures, taxonomies, and images. Often interfaces do not offer appropriate tools to compare and navigate data over time, and the information appears as in a big "now", with no reference to the past and no view of the future. Adding the temporal dimension gives the possibility to see, for example, how places and different uses of artifacts changed in time. With the fourth dimension-time-interfaces becomes a 'time machine', a structure that better can represent and visualize knowledge. In this paper, after having described the concept of the navigation in time of data, we describe the Venice Time Machine, a project that aims to represent the millenarian evolution of Venice in social and urban terms implementing the navigation over time of the documents. Then, we propose and interfaces to navigate time using virtual reality, which is inspired by tools used to study trajectories of atomic particles. Finally we present Europeana, a vast archive online of the European knowledge, and an example of a time machine that uses its Application Program Interface.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.029 |
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".