Mediations of Shattered Water: Environmental Intimacy & the Dissolution of the Self
Bibliographic record
Abstract
In a time of accelerated environmental degradation, a human-centric approach to engagement has engendered a pervasive cultural passivity towards the environment. This fatalistic detachment amplified by technological advances and, in Canada, the vastness of our landscape demands that we reanimate our perception of the natural world. Environmental intimacy aims to dissolve the “I-it” relationship through an affective merging of subject and object, recognizing that just as we move through the landscape, the landscape moves through us, resulting in heightened ecological attunement. \n \nThis research uses the sensing human body as the primary site of spatial perception. With a camera strapped to my body I encounter waterfalls. From these encounters, the sensations of shattered water are cultivated and reformed into cast plaster and concrete artifacts, deterritorializing the waterfalls from their physical location into affective material formations. These crafted artifacts are the distillation of my encounters with the shattering of water, extending the movement of the body through the landscape into the craft and navigation of architectural space. \n \nThe process of translation created to test the potential of affective deterritorialization involves the technical mediums of photography, digital editing, computer modelling, Computer Numerical Control (CNC) routing and vacuum forming to develop the sensuous cast surfaces. These processes bring the digital image back into the material world, resulting in a new form of cast landscape detached from a geographical location while resonant with the forces moving through it. These castings are deterritorialized landscapes of sensations which engage the integral and reciprocal relationships between the body and its environment.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.031 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".