Canadian citizens volunteering in disasters: From emergence to networked governance
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
How to improve coordination between formal and unaffiliated or spontaneous volunteers after emergencies is currently an international question with a high profile. Drawing on international disaster management literature and experiences and recent crisis events in Canada, our analysis examines four Canadian case studies to show that the inclusion of citizens in EM is becoming indispensable, as simultaneously as the frequency and intensity of natural disasters are seen to be growing due to climate change, and citizens are increasingly presenting their labour and resources as assets to be drawn on in emergency and postemergency situations. In this context, Canadian municipalities are starting to better manage the unpredictability of spontaneous citizen volunteering in emergencies by building anticipatory structures of networked governance for integrating diverse, pre‐existing, and in some cases, pre‐identified groups of citizens as volunteers in emergency management functions. Additionally, as the role of voluntary service organizations is becoming elevated in emergency response and recovery in Canada, these organizations can prospectively play the role of brokers to help emergency management agencies access and manage community‐based networks of voluntary resources.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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