Post-Surface Painting and the Structural Limits of Academic Painting Education
Bibliographic record
Abstract
This preprint presents a structural analysis of academic painting education in the first quarter of the twenty-first century and introduces post-surface painting as a response to its historical and institutional limits. The study argues that contemporary painting pedagogy remains largely grounded in surface-based, pigment-centred models formed in the nineteenth century, despite the central role of light as a primary medium of contemporary visual culture. Post-surface painting is articulated not as a technological trend or stylistic innovation, but as a reconfiguration of pictorial logic in which light functions as a generative medium governed by optical processes. The paper examines why attempts to integrate such practices into existing academic painting frameworks are structurally untenable and proposes the emergence of parallel educational systems as a necessary alternative. The analysis is supported by theoretical foundations, historical precedents of light-based art, and evidence of marginalised practices within the Ukrainian and Soviet cultural context. The work is intended as a conceptual and methodological contribution to discussions on painting education, materiality, and the future of pictorial practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".