From Form to Content: Using Shape Grammars for Image Visualization
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 idea of superimposing geometric grids on images to visualize their content is not new. Leonardo Da Vinci used it, Durer used it, and Descartes pioneered the use of geometric grids to describe geometric content with algebraic equations. Shape grammars take the algebraic analysis of images to a new dynamic level. They permit the visualization of images in terms of construction processes: generators and relations, in the language of algebra. In this paper, we discuss some of the creativity involved in the identification of initial objects and rules for the analysis of both a Zillij mosaic and a Kuba cloth. We show that although conceptually similar, the processes are quite different for the two types of design. While Zillij mosaics are regular, Kuba cloths also involve scaling: the variation of the size of repeated sub-patterns within a defined space.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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