An architecture of reclamation in the city of Sudbury: where land and water meet
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The City of Greater Sudbury is home to a unique terrain that has \nbeen shaped by many events throughout time. The culture of the \nplace is deeply rooted in industry as well as distinctive landscape \nfeature such as barren rock outcroppings and bounty of lakes. \nAfter a century of invasive mining activity, the landscape is being \nreclaimed and the city of rocks is shifting to a city of lakes. Thanks \nto re-greening efforts many of Sudbury’s 330 lakes have been \nbrought back from their acidic state. However, urban development \nhas created new challenges for lakes found within the city’s core. \nThis thesis explores the potential for an architecture of reclamation \nthat doesn’t impose itself on the land but aids in the rehabilitation \nand ecological functions of the specific site. The project is a piece \nwithin a complex ecosystem that provides stormwater management \nbenefits, educational amenities and ecological regeneration. Within \nthe riparian zone of Ramsey Lake, this proposal acts as a mediary \nfor clean water environments, where land and water meet
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it