Pets are family, keep them safe: a review of emergency animal management in remote First Nations communities
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
Planning for and considering animals is a growing area within emergency and disaster planning. As people adapt to the changing risks of disaster events that are increasing in magnitude and frequency, communities, particularly those in regional and remote areas of Australia, face challenges that are very different from other more populated areas. These communities are often home to pets, which pose unique challenges during evacuation, response and recovery phases of emergency management. Australian state and territory government emergency management plans give varied considerations to animal management. In the Northern Territory, the Territory Emergency Plan (Northern Territory Government 2022) serves as a base for animal management in disasters. However, significant reform is required to fill gaps in considerations of animals in remote communities, especially First Nations communities, given the strong socio-cultural connections within family structures and contributions to wellbeing under First Nations health worldviews and the human-animal bond. Such reform requires consultation and collaboration with First Nations Australians to promote ‘right-way’ science, build local capacity and support community resilience. Considerations of the interplay between people and their pets in disaster planning, response and recovery contributes to ongoing advances in the ‘One Health’ and ‘One Welfare’ paradigms.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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