Blue Junction: Improving Spatial Experience Through Ecological Water Management at Carleton University
Bibliographic record
Abstract
Although the earth's water supply is finite and is indispensable to the survival of all living things, it is routinely understood to be a single-use, disposable element framing a relationship which causes increasing environmental degradation. As with all things in our culture that intersect with the waste we generate, our relationship to water has resulted in strategies that largely conceal water from our daily experience. At Carleton University this camouflaging is in full effect: extensive impermeable surfaces and buried stormwater drains allow unimpeded surface runoff into the Rideau River while sewers send untreated sewage directly into Ottawa's strained sewage network. In response, this thesis explores how implementing ecological water management systems for both stormwater and wastewater at Carleton University, seen as the responsible path forward, can be entwined with architectural experience to reverse what is the secret life of wastewater and improve human relationships and attitudes towards water management.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.061 | 0.007 |
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".