Bibliographic record
Abstract
MICHAEL SNOW: IN THE WAYJack Shainman Gallery, New YorkJanuary 7 - February 11, 2012Michael Snow's recent show at the Jack Shainman Gallery featured digital-video polygons of synthetic color sliding briskly across die walls. The white walls carried the color and diffused it into the surrounding areas, creating rich, chromatic hazes. Six distinct, highdefinition projections displayed colors approximate to those in die spectrum visible to humans: yellow, orange, red, green, blue, and light-blue, and a seventh that combines all the colors together into an electric teal. Two bounding boxes were in play: that of the maximum height and width of the projected light meeting the wall, and a rectangle of smaller but scaled dimensions. Within the second rectangle, the colors shifted in kinetic, fluid movement. Intuition or muscular reflex seems to propel their quick changes in shape and dimension. One sees concentrated color, but the defining parameters of their visible field ensure awareness of what has slipped from view. The animated shapes continuously reference their determining borders. Indeed, one regards die beautifully intermingling chromatic hazes beyond the edges of die directly projected light as, in a way, equally substantive. Together they assert the arbitrary, contingent basis of cinematographic representation: each rectangle oscillates between object of regard and surface of support. These are shapes of color, and they are screens. Entided The Viewing of Six New Works, the suite of projections deserves consideration among Snow's significant works.The show is an important event in the on-going debates on the (im)material basis of moving image art and the various spaces (built and discursive) in which it is positioned. Snow's use of moving image technologies as a means to explore the physiological processes of perception is well-established and widely renowned. The Viewing of Six New Works presents beautifully ludic, and deceptively simple, iterations in the artist's delimitation of vision as an aesthetic program. Greg Hermanovic of Derivative studios in Toronto developed an application in TouchDesigner software especially for Snow. The application, entitled V6 (Viewing of Six New Works), recorded Snow's two-finger movements on a 23-inch touchscreen. V6 rendered the results as rectangles in 60 frame-persecond high-definition mp4 files. Through the work, we are reminded that a creative act is an aggregation of perceptual data by our biological systems. The data is motivated for a particular understanding of lived experience. …
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".