1. Why Did the Turtle Cross the Road?
Bibliographic record
Abstract
Road ecology studies are beneficial for informing sustainable development plans. Our ecological focus lies in developing crossing structures at five sites in the Kingston area to enable safe turtle crossing during the breeding season from May-September. Locations have been selected based on previous evidence of animal casualties and the potential for culvert construction. The Kingston Society of Conservation Biology hopes to implement a solution, over the course of 3-5 years that has commenced with the installation of turtle crossing signs at all locations and will be completed once culverts are constructed. We will investigate the success of culvert development by other conservation groups in order to determine if this is a viable solution for the four sites being investigated in this study. Our group will propose adjustments to culvert construction and alternate, feasible solutions where conventional culvert development is expected to be ineffective in reducing turtle mortality. This study aims to ensure that culverts will be effective in increasing the safe transfer of turtles between wetland areas. Ultimately, we hope to propose a long-term sustainable solution that will decrease the effects of anthropogenic activities and urbanization on the Kingston turtle population.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".