Bibliographic record
Abstract
The goal of this project was to solve a very specific environmental problem, the fact that thousands of amphibians were being killed each year by vehicles travelling on regional highway 220 where it crosses one of the prime wetlands in the Eastern Townships, the Lake swamp. As was the case with many other Canadian highways, environmental concerns were considered much less important when highway 220 was built. Today, an annual average of 1,600 vehicles travel the road each day. However, highway 220 cuts across approximately 400 m of the migration corridor that amphibians use to cross the Lake swamp during their spring breeding season. Observation and field counts during migrations have demonstrated that 91% of amphibians that attempt to cross the highway are crushed. This has a considerable impact on survival of the amphibian populations in this area. Nine species of amphibians have been observed on the highway. Considering the key role that amphibians play in the food chain, local residents were very concerned about the situation. They banded together to form the Association pour la protection du Lac Brompton (APLB), and asked the Ministry of Transportation to become a partner with them in solving this problem. After APLB members researched the problem and discussed it with the Ministry of Transportation, agreement was reached to proceed with the installation of three tunnels for amphibians under the surface of highway 220, in order to facilitate these small animals' annual migration from the neighbouring forest to the swamp and back. The APLB led an awareness campaign targeting residents, affected municipalities, and several ministries and environmental organizations, in order to raise funds to purchase tunnels and the interception devices required to guide the amphibians toward the tunnels. For its part, the Ministry of Transportation provided the machinery, supplies, and staff needed to install the three tunnels. The Ministry carried out prior geotechnical testing to determine the nature and quality of the fill beneath the pavement, to ensure that the installation method used would prevent frost heaves. For the covering abstract of this conference see ITRD number E201066. (A)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".