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 Processing language [Casey Reas 2007], first introduced by Ben Fry and Casey Reas in 2001, is a simple, elegant language for data visualization that is already being used by artists, educators and commercial media groups to produce rich graphical content called sketches. Because Processing is implemented in Java, delivering Processing sketches via a web page requires the user to install a Java plug-in. Processing.js, in comparison, is an open source, cross browser JavaScript port of the Processing language; it translate Processing sketches into JavaScript using the <canvas> element for rendering. No additional plug-ins are required to view a Processing sketch delivered with Processing.js. Furthermore, Processing.js is much more than just a Processing parser written in JavaScript: it enables the embedding of other web technologies into Processing sketches and vice versa. Processing.js seamlessly integrates web technologies with the Processing language to provide an excellent framework for rich multimedia web applications.
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