Bibliographic record
Abstract
Proposed as an advanced conceptualization of how to handle risk, risk governance begins with the critique and expansion of the traditional idea and standard practices of risk analysis. In developments over the last two decades, proponents of a more integrative approach on governing risks have moved further away from distinct conceptions of risk assessment, risk management, and risk communication and toward the processes and institutions that guide, restrain, and integrate collective activities of handling risk. In early formulations of what risk governance entails, the superiority of the interplay between risk evaluation and risk management over linear and simple deductions from risk assessment to risk management was established precisely by developing a distinctive rationality of how to proceed. Later, the International Risk Governance Council recaptured this distinctive rationality that institutionalized processes should embody the interplay of the assessment of risks and related concerns, their sociopolitical appraisal, and the logical inference for risk management. Recently, this approach has been refined and augmented toward an integrative and adaptive concept of risk governance and toward a postnormal conception of risk governance. Main characteristics are a new concept of differentiated responsibility and deliberation in which expertise, experience, and tacit knowledge are integrated, forming the core of legitimate political risk decision making.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.047 |
| Scholarly communication | 0.014 | 0.027 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.007 | 0.014 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".