Design and implementation of an XML-based, technology-unified data pipeline for interactive simulation
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
Providing software that is efficient, flexible, reusable and easy to work with is a hard task for simulation developers. In this paper we propose the use of XML and its related tools (e.g. JAXB, XQuery, XSLT, and Native XML Database) for the implementation of a technology-unified data pipeline targeted to interactive simulation. We introduce a technology-independent conceptual data model as the basis for every simulation framework. We show that XML is a well-suited technology to be used in that context. We propose a data modeling methodology that takes its roots from Model-Driven Engineering (MDE). We also show a sample implementation that uses XML for transmitting data over the entire simulation loop. We thus present our experience in implementing that kind of architecture and discuss how the use of XML and associated technologies help in building a unified and generic data pipeline for interactive simulation.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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