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
Implementing software development tools as integrated development environment (IDE) plugins gives tools direct access to a range of useful representations of the program being created and can improve programmer efficiency. These benefits must be weighed against the effort to integrate the tool into the IDE, effort which may need to be repeated for each IDE targeted. In this paper, we introduce Fishtail, a prototype plugin for the Eclipse IDE, which assists programmers in discovering code examples and documentation on the web relevant to their current task. Fishtail uses a detailed history of programmer interactions with the source code to automatically determine relevant web resources. We describe the key factors that make it attractive to implement Fishtail as a plugin, and the requirements Fishtail imposes on the plugin/IDE interface. To reach a broader user base and understand how well our tool supports different programming styles and IDE architectures, we have recently begun investigating how to make a version of Fishtail available in the Visual Studio IDE. We outline some of the challenges we face in trying to reuse code from the original Eclipse plugin.
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 | 0.001 |
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