Waterfront Property Owner Perceptions and Perspectives on Riparian Zone Aesthetics and Shoreline Management Interventions: Insights for Outreach and Behaviour Change
Bibliographic record
Abstract
With freshwater biodiversity declining globally, attention is being focused on how human values influence stewardship and restoration efforts.The goal of this thesis is to identify waterfront property owners' relational values, and study how relational values influence property stewardship behaviours.First, I characterized the relational values of waterfront property owners who participated in Love your Lake's shoreline assessment program.Findings reveal differences in relational values of waterfront property owners, and how many waterfronts property owners value personal enjoyment elements that consider shoreline health.Next, I evaluated if the relational values of waterfront property owners align with their stewardship behaviours.I determined that the majority of waterfront property owners' shoreline conditions do align with their reported relational values.The findings also identified gaps in outreach initiatives aimed at understanding the role that values and behaviours play in shoreline degradation and environmental stewardship.
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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 | 0.003 | 0.005 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".