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 problems and issues of natural hazards and disasters, both globally and in Canada, are becoming increasingly important since the costs of extreme natural events have been escalating, and significant vulnerabilities exist in Canadian society. Without thoughtful and effective mitigation, these costs and human suffering are likely to continue to increase. An assessment of knowledge, research, and practice in risk, hazards and disasters fields is a fundamental step towards the goal of prevention and mitigation. This book on natural hazards and disasters in Canada is the first comprehensive interdisciplinary publication on this subject, and is the result of a national assessment on this topic. A variety of papers from the physical and social sciences explores both the risks associated with these hazards, and adaptive strategies that can be used to reduce those risks. Audience: This excellent collection of papers is intended for academics, professionals and practitioners involved in hazard reduction activities who wish to obtain a better understanding of Canadian natural hazards.
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 | 0.001 |
| 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