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
The Eclipse platform presents an opportunity to openly collaborate and share visualization tools amongst the research community and with developers. In this paper, we present our own experiences of "plugging-in" our visualization tool, SHriMP Views, into this environment. The Eclipse platform's Java Development Tools (JDT) and CVS plug-ins provide us with invaluable information on software artifacts relieving us from the burden of creating this functionality from scratch. This allows us to focus our efforts on the quality of our visualizations and, as our tool is now part of a full-featured Java IDE, gives us greater opportunities to evaluate our visualizations. The integration process required us to re-think some of our tool's architecture, strengthening its ability to be plugged into other environments. We step through a real-life scenario, using our newly integrated tool to aid us in merging of two branches of source code. Finally we detail some of the issues we have encountered in this integration and provide recommendations for other developers of visualization tools considering integration with the Eclipse platform.
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 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