Sharing and Adapting the Homeowner’s Handbook to Prepare for Natural Hazards
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
In 2007, the University of Hawai‘i Sea Grant College Program produced the Homeowner’s Handbook to Prepare for Natural Hazards in response to the significant threat of hurricanes and a sense of the urgent need to help communities prepare. There are now 15 versions of the Handbook across the Sea Grant network, with over 189,250 copies printed in three languages. The Handbook helps prepare communities for natural hazard risk with best practices that are resilient, adaptive, and sustainable. Partnerships between scientific organizations, emergency managers, the private sector, and community groups have played key roles in developing, distributing, updating, and educating the public. A wide range of education activities—from adult outreach through seminars, webinars, emergency fairs, workshops, and continuing education courses to student and K–12 teaching resources to TV and media sharing—were developed for greater reach into the community. Going forward, programs have plans to include more information on climate change, to address not just homeowners but all residents, to encourage helping the vulnerable, and to work with emergency managers and partners to expand the range of education and outreach so that the “Whole Community” can be reached.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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