Stepping lightly: a rural site approach for habitat restoration
Bibliographic record
Abstract
In light of the global decline of biodiversity, this thesis seeks to \naddress local issues threatening species which could lead to greater \npositive global impact. The local issues experienced within the Lake \nErie-Lake Ontario Ecoregion, located in Southwestern Ontario, reveal \nhabitat loss as the key threat to biodiversity. The majority of habitat was \nlost as a result of deforestation caused by the logging industry and the \nclearing of the landscape for agricultural use. Forests were once allencompassing entities covering Southwestern Ontario, today they sit at \nthe margins of agricultural space. To address habitat loss, this thesis \nargues a design approach to connect the existing fragmented habitat \nis required. These connections are established through ecocorridors, \nnatural spaces which link existing habitats. A specific site in the rural \nland to the west of London, Ontario is selected to develop a strategy for \nreforesting. A site approach developed from the natural forest succession \nof deciduous forests is established to guide the growth of corridors \nand architectural interventions. A forest center as well as a number of \nsmall-scale interventions seek to support the programmatic needs of \nreforesting while also integrating themselves into the forest, acting as \nsupports for the wildlife. This thesis seeks to develop a site strategy \nsupported by an architectural intervention which connects fragmented \nhabitat and di
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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 | 0.001 |
| 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) | 0.000 | 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".