International Disaster Risk Reduction Strategies and Indigenous Peoples
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
With more frequent and more intense disasters, disaster risk reduction (DRR) has become increasingly important as a fundamental approach to sustainable development. Indigenous communities hold a unique position in DRR discourse in that they are often more vulnerable than non-Indigenous groups and yet also hold traditional knowledges that enable a greater understanding of hazards and disasters. This article provides an overview of multilateral agreements for incorporating Indigenous Peoples into wider debates on disaster policies as well as development agendas. Essential DRR strategies can be adapted for Indigenous communities through respect for Indigenous approaches in coordinating alliances; culturally appropriate incentives; accurate, appropriate, and ethical data collection; acknowledgment of Indigenous land use practices; use of Indigenous language, leadership, and institutions; collaboration with Indigenous knowledges; and acceptance of traditional healing approaches.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| 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