Coastal infrastructure realignment and salt marsh restoration in Nova Scotia, Canada
Bibliographic record
Abstract
This chapter describes a project to realign a section of the North Onslow dike near Truro, Canada. This project was intended to achieve the multiple goals of reducing dike maintenance costs, enhancing protection of public and private infrastructure, and enhancing resilience to climate change through the restoration of a coastal flood plain. This chapter was written by Kate Sherren, School for Resource and Environmental Studies, Dalhousie University, Halifax; Tony Bowron, Department of Environmental Science, Saint Mary’s University, Halifax and CB Wetlands and Environmental Specialists (CBWES Inc.), Terrance Bay; Jennifer M. Graham, CB Wetlands and Environmental Specialists (CBWES Inc.), Terrance Bay; H.M. Tuihedur Rahman, Department of Geography and Environmental Studies, Saint Mary’s University, Halifax and School for Resource and Environmental Studies, Dalhousie University, Halifax; and Danika van Proosdij, Department of Geography and Environmental Studies, Saint Mary’s University, Halifax.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".