Citizen participation in post-disaster flood hazard mitigation planning: Exploring strategic choices in Peterborough, Ontario
Bibliographic record
Abstract
This thesis explores the role of citizen participation in a post-disaster flood hazard mitigation planning program in Peterborough, Ontario. Recognizing that citizen participation is an integral element of hazards mitigation planning, a review of the relevant literature identifies six strategic planning choices that should be considered in the design of a citizen participation program. The study applies this framework to the Flood Reduction Master Plan (FRMP) study and planning process in Peterborough, undertaken following the July 2004 flood event, to analyze citizen participation in hazard mitigation planning practice. Existing documentation, including the FRMP, and fifteen key informant interviews provided the main sources of research data. Data were analyzed in terms of the framework and other hazards mitigation theory found in the literature to produce the findings of the study. There existed many strengths and several weaknesses of the citizen participation aspect of the planning program. Many of the decisions made regarding citizen participation in the FRMP process can be considered successful by the standards set in the literature.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".