Quantifying risk through the use of the consolidated risk assessment process
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 consolidated risk assessment (CRA) allows for risk to be quantified and thereby can be used as a measuring tool to determine process investment priorities in the capability-based planning (CBP) process. The CRA has potential application across Canada working with government and regional sectors. Through risk modeling, the potential of risk and its inherent consequence can be used to determine the success of investment in mitigating the identified threat. The CRA presents a new opportunity to improve how risk is measured, monitored, managed, and minimized through the four phases of emergency management, namely prevention, preparation, response, and recovery. Defence Research and Development Canada is interested in researching and developing the possible benefits of a comprehensive approach to risk assessment and management to reduce risk throughout Canada. The CRA model provides a framework against which potential risk can be measured and quantified, thereby improving safety for all Canadians.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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