Adobe ‘Marked Objects ’ plugin for WaRMreader
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 WaRMreader [4] method of using XY-pic for placing labels over imported graphics was presented at TUG’99 ∗ in Vancouver [3]. Central to this method is the use of a.bb file, which contains information concerning “marked points” within the graphic, as well as specifying the bounding box. A plugin module has been developed, for use with Adobe’s Illustrator [2] (vers. 9, and later), which makes it easy to specify the desired marked points, and store the corresponding information within a.bb file. This information is valuable markup which could be used also for different purposes, with other software packages. In this talk we demonstrate some possible work-flows for using the new plugin tool. Also, we describe the work done to convince the Illustrator Development Team, at Adobe Systems Inc., that such a tool is a simple and useful addition to their software. Using the WaRMreader macros
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 | 0.001 |
| 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