Identification of Bird Collision Hotspots along Transmission Power Lines in Alberta: An Expert-Based Geographic Information System (GIS) Approach
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
Bird collisions with electrical transmission lines are a cause of avian mortality. The exact magnitude of the problem is not known because most avian mortality goes undetected; however, existing mortality estimates make this phenomenon a significant ecological, social and economic concern. Electric utility companies operate thousands of kilometres of transmission line, making it difficult and costly to identify problem sites and prioritize areas for mitigation. Existing research suggests that mortality is not evenly distributed, but spatially clustered in areas with particular combinations of environmental and physical attributes. We used a combination of a geographic information system (GIS) and multiple criteria evaluation (MCE) to predict collision risk hotspots at a landscape scale. Model predictions were validated through preliminary field sampling, which yielded strong evidence that this approach can successfully predict high-risk collision zones. Our spatial approach was a novel application of risk theory within GIS, was transparent, can be easily replicated, and is transferable to other areas with similar problems.
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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 | 0.001 | 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 | 0.004 |
| 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 it