Drowned Landscape: An Architectural Reflection Upon Indigenous Sensibilities in Curve Lake First Nation
Bibliographic record
Abstract
This thesis aims to develop an architectural design for the Curve Lake First Nation, which articulates the Anishnaabe sensibilities and encourages the longevity and strengthening of traditional cultural values. Curve Lake First Nation, a peninsula located in Southern Ontario, is home to the Mississauga of the Anishnaabeg nation. After the Federal Government's flooding of Curve Lake for the Trent-Severn Waterway in 1844 and 1908 the community faced devastating impacts to the local ecosystem and the loss of 700 acres of their land. This proposal aims to make use of the drowned land through water treatment, education, and storytelling with the emphasis upon landscape experience, providing the opportunity to facilitate land-based learning practices, encouraging the resurgence of cultural traditions, and outlooks. This thesis asks, how does one create an architectural connection with the land and place whilst respecting the inherent Indigenous sensibilities?
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".