Creating Tallgrass Prairie Corridors for Species at Risk Using Geographic Information Systems in Norfolk County, ON
Bibliographic record
Abstract
Anthropological land use in Norfolk County, Southwestern Ontario, has resulted in fragmentation of tallgrass prairie habitats which several species at risk are dependent upon. This research aims to create connectivity between fragmented habitats through the development of tallgrass prairie ecological corridors in Norfolk County. Using Geographic Information Systems-based Multi-Criteria Evaluation, attribute layers were weighted according to their relative importance and combined. Five models were developed to represent the varying habitat requirements for ten at-risk species. The most suitable values in each model were combined to create one habitat index map illustrating the best suitability for all species considered in the study. The habitat index map forms the cost surface used to perform a least-cost path analysis which illustrates the optimal corridor connecting core areas. Ideal lands for acquisition for corridor development are low cost, distant from urban built up areas, existing in natural landscapes, and connected to large reserve patches.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".