Sometimes It's a Big Ask, but Sometimes It's a Big Outcome: Community Participation in Flood Mitigation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There are often calls for more community or citizen involvement in planning of all types, including hazard mitigation (Brody 2003, Burby 2001, Gregory 2000, Pisaniello 2002, Tarrant 1997/1998). There are statutory requirements for community involvement in risk management planning in a number of countries, including Australia (Burby 2001, Department of Justice Canada 2000, Handmer and Parker 1992, Kennedy 1991, New South Wales Government 2004, Walker 1979, Zamecka and Buchanan 2000). Reasons for supporting community involvement include informing and educating the community about issues, tapping into community knowledge and possible solutions, understanding community preferences for hazard management equity, and achieving practical and effective outcomes (Godschalk et al 2003). However, there has been considerable debate on the efficacy of citizen involvement in hazard mitigation planning (Burby 2001) particularly from the view of planners and agencies actively seeking citizen involvement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it