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
Non-photorealistic rendering has placed much emphasis on developing algorithms that determine the appearance of renditions. To successfully deploy NPR rendering systems using these algorithms, however, one has to consider how artists, illustrators, or lay people can influence the created renditions. Many systems require a cyclical process of parameter tweaking, rendering, and validation before one is satisfied with the final rendition. We present an interactive NPR canvas in which a user can construct a rendition with pre-rendered primitives and modify these primitives using tools that provide spatially explicit computational assistance. We call this approach modeling with rendering primitives. Our technique has the advantage of algorithmic support for creating NPR renditions but requires neither global parameter adjustments and re-rendering cycles nor attribute changes on individually selected primitives. We demonstrate the applicability of this interaction technique for the creation of painterly rendering, pointillism, and decorative mosaics.
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