Highway 3: Transportation Mitigation for Wildlife and Connectivity
Bibliographic record
Abstract
The Highway 3 transportation corridor, including land use and development adjacent to the highway, has been identified as a major challenge to maintaining wildlife connectivity at the northern edge of the Crown of the Continent ecosystem. Highway 3 is a two-lane, east–west highway supporting 6,000 to 9,000 vehicles per day traveling over the Continental Divide at Crowsnest Pass in the southern Canadian Rockies. The current rate of wildlife–vehicle collisions involving large mammals along Highway 3 has raised concerns among agencies and the public regarding motorist safety. Although highway segments experiencing a high number of these collisions are predominantly found to involve deer, collisions also occur with less common species such as elk, moose, bighorn sheep, grizzly bear, wolf, lynx, bobcat and cougar. The syntheses, field assessments and recommendations described in this report reflect the best available understanding and options for direct mitigation of highway impacts to local populations of large terrestrial wildlife. Although conservation measures at regional and landscape scales are critical in maintaining wildlife population connectivity, the focus of this report is at the finest scale necessary to address Highway 3 impacts on terrestrial wildlife—that of site-specific mitigation of the highway itself.
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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".