Building resilient communities workshop report
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
The Building Resilient Communities Workshop, February 25-26, 2014 was hosted and organized by the Justice Institute of British Columbia (JIBC), with the support of the Emergency Management British Columbia (EMBC) and the Canadian Safety and Security Program (CSSP), Defence Research and Development Canada (DRDC) Centre for Security Science (CSS).\n\nThirty-four participants from multiple levels of government, senior practitioners, policy makers, academia, community members and a variety of agencies disseminated knowledge and developed concrete strategies and priority actions areas for supporting ongoing and emerging initiatives in community and disaster resilience planning. Participants also heard reports on CRHNet Aboriginal Resiliency Report Update and provided a forum for a Value Based Focus Group for the Community Resilience Community of Practice.\n\nIdentified strategies included development of an integrated national strategy and finding ongoing sustainability funding; increasing community engagement through information sharing, giving context specific examples of anticipated outcomes, and demonstrating return on investment; as well as the need to engage and support local champions and embedding disaster resilience within other processes. A key message was that communities should be encouraged to use ANY tool or process, rather than struggling to find the perfect. Any engagement with disaster resilience planning increases community resilience.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.509 | 0.002 |
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