Bibliographic record
Abstract
Long Shadow Cast is a series of 9 glass watch faces ( 5cm diameter) painted with glacial flour ( sediment left by retreating glaciers ). Each drawing depicts (post) glacial site in Switzerland visited by the artist in summer 2023 through her residency at Musee d’art du Valais where she also gathered glacial flour left by retreating glacier used here as the pigment to make the images. Placed on an OHP, shadows are cast on the wall. The viewer sees not the drawing but its trace, via the means of this nearly obsolete technology. The yellow glow from the electric bulb of lends the work a sepia glow, recalling early photographic images of high mountain areas before the impact of that industrialisation of that period was to be seen. The work explores ideas of permanence, critiquing associations of the drawn mark as a fixed entity. Here , a mark made in shadow is a mark contingent on its environment (lighting conditions) to take shape. The premise reflects Jean Luc-Nancy's observation ( 2011) that a drawing is in a state of becoming. This theory of drawing has a critcial relationship to the depicted glacial environments. What appears to be fixed and timeless in in the drawing, is revealed as shifting and fluid in its shadow. The work also enters into critique of the romanticized view of high mountain areas as remote, out of reach and uninhabited, and as an imaginary sublime. In fact, this is an impossible ideal for these mountains are places of passage, pilgrimage and leisure pursuits and resources used by humans for centuries to support their lives, an idealised space as impossible to inhabit as a shadow. The work is part of the wider project Emergency! about what emerges as a result of glacial retreat. Exhibited at John Muir Trust 2024.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.206 | 0.032 |
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".