Making Room for Wetlands- Considerations for Long Term Resilience 
Bibliographic record
Abstract
This presentation will examine factors influencing the restoration trajectory of tidal wetland restoration projects in Nova Scotia, Canada, and considerations for long term resilience. Rates of relative sea level rise in Nova Scotia are projected up to 1.5 m by 2100 (RCP 8.5) and restoration of tidal wetlands are important for climate change adaptation and mitigation. Over the last 15 years, CBWES, Saint Mary’s University and the Province have restored close to 400 ha of tidal wetland habitat by enlarging culverts or realigning dyke infrastructure. Comprehensive pre and 5-year post restoration monitoring and insights from the Making Room for Wetlands project reveal marked differences in the rate of vegetation recolonization, surface elevation change and overall restoration trajectory between Atlantic and Fundy marshes. Differences are also recorded between sites in the Lower Bay (6 m tidal range) and Upper Bay of Fundy (16 m tidal range). This presentation will focus on the influence of sediment supply, tidal range (inundation frequency and duration), restoration design and seasonal timing of re-introduction of tidal flow on the rate of vegetation recolonization and implications for long term resilience.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".