The future of Nova Scotia's dykelands : understanding the landowners’ perspective
Bibliographic record
Abstract
In the 1600s, French Acadian settlers built dykes to drain tidal wetlands for agriculture.Much of these dyked lands or dykelands exist today but are vulnerable to sea level rise and flooding.Managed dyke realignment is one approach that supports a new tidal marsh buffer.Little is known about how landowners view managed realignment as an adaptation strategy in Nova Scotia.Communicating with groups of landowners known as marsh bodies about managed realignment has shown promise in implementing it on dykelands.Property owners (n=12) within a marsh body were randomly selected and interviewed over the phone.Positive views of managed realignment were supported by knowledge of its implementation and an inevitable view of climate impacts.Support for managed realignment conflicted with aesthetic, environmental, and agricultural values.Future work should incorporate the views of stakeholders and Mi'kmaq communities to capture the full range of trade-offs inherent with managed realignment on dykelands.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".