Flood Damages in the Squamish-LilIooet Regional District: A Post-Audit of the 2003 Event
Bibliographic record
Abstract
Canadian flood damages are thought to be increasing and this trend is unlikely to reverse. At present, increased pressure to develop, downloading of responsibility to municipal governments and an aging infrastructure has left British Columbia vulnerable to a catastrophic event. A number of authors have called for more research dedicated to understanding flood damages. This work, despite data limitations, examines the 2003 flood in the Squamish- Lillooet Regional District and aims to inform our limited understanding of floods in B.C. The work makes use of numerous data sources in order to explore a recent event, with particular emphasis on who was affected, what factors influenced damages, the role of dikes and basements and whether the 1976 implementation of land use planning influenced the damages. The work finds that further data would benefit our understanding of the event but that in the mean time provincial floodplain development continues to place people and property at risk. Furthermore, future policies and changes to the decision making process may benefit by moving beyond elevation and setback to include other factors.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".