Within the Ruin is Colour: making with twenty-eight chromatic encounters
Bibliographic record
Abstract
Through twenty-eight encounters, this thesis explores site history differently; colour becomes a lens of site analysis that traces social, economic, and environmental accounts of materials, while challenging the familiarity of linear narratives and the perception of time and space. Traces of colour are stripped from written, verbal, and spiritual histories of industrial ruins. Extracting this spectrum of pigments creates material ambiguity where constructed divisions between what is human versus what is natural, what is contaminated versus what is pure, and what is waste versus what is of value are abolished to enrich our understanding of place. In doing so, this research helps to better understand the role of colour in the alienation of land, animates colour as a primary architectural element and begins a journey towards land reciprocity with damaged industrial landscapes. \n \nThe core of this thesis lies in noticing colour. For a year, I catalogued a chromatic spectrum from foraged material in the ruin of Barber Paper Mill in Georgetown, Ontario. Red ochre in clay forms the earth that is carved into buildings. Yellow iron of fieldstones marks divisionary lines of settled territory. Green derived from chlorophyll allows the growth of black spruce delineating the paper industry of Canada. Blue patina of oxidized copper memorializes the development of hydro electricity and changing patterns of urbanism. Each hue is a unique story of entangled relationships between material agency and perception. Each story is a forensic exercise in noticing differently and liberating the ruin from abstracted obsolescence. \n \nWithin the Ruin is Colour reveals entangled connection between the ruin’s physical matter, composition of the built environment, and resulting conditions of the land. These investigations contribute to the study of the perception of space—physical, phenomenological, cultural, and temporal. As encounters operate in the place between each of these individual spaces, focusing on the practice of making with colour explores the architect’s role in preservation and erasure. Colour, as a site of investigation, illuminates how colours exist in space to animate invisible, lost, and erased histories of the land.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.028 | 0.039 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| 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".