Ecotone adaptive dwelling in Ontario: learning from plants
Bibliographic record
Abstract
Plants are resilient and beautiful. They can teach us how to live harmoniously with our surrounding \necosystem and with nature. Plants have developed strategies that allow them to adapt to the everchanging environmental conditions. Unlike buildings, they are dynamic and rely on mutualistic \nrelationships with the land and other living beings. This thesis looks at the theory of biomimicry and \nfocuses on adaptive architecture, exploring the design principles and analyzing the criticism of both \napproaches in order to learn how we can design a 'living' adaptive dwelling space that creates a dynamic \narchitectural ecosystem where the users are 'symbiotic' participants, actively adapting to changing \nenvironmental conditions using hands-on, low-tech solutions. The proposed adaptive dwelling, located in \nan ecotone region in Eastern Ontario, lives in harmony with the natural cycles and challenges the current \nideals of comfort on a natural site.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".