ENhanced COMmunication in Risk ANalysis (ENCOMRAN): Final report
Bibliographic record
Abstract
Risk analysis is a structured approach comprising risk assessment, risk management and risk communication, where the latter includes communication between risk assessors and risk managers. In recent decades there has been a shift in paradigm from “strict separation of risk assessment and risk management” to a model where dialogue is an integral part of the process. However, as the REFIT evaluation concluded, there is still a need for closer cooperation and coordination. The goals of the ENCOMRAN project were (i) to capture and describe interactions within food and feed risk analysis at EU Member State level as perceived by risk managers and risk assessors and (ii) to summarise the lessons learned in a document that could support communication and pinpoint crucial steps in communication and procedures to overcome identified obstacles. An internet-based survey was performed with risk assessors (n = 55), risk managers (n = 31) and those doing both (n = 9) in European countries. The results supported recent calls for more open, frequent, informal, feedback-rich and trust-building communication between risk assessors and risk managers. It is important to consider barriers to interaction, in particular how the prescribed independence of the scientific process is interpreted. Time management is also a key factor, especially in longer assessments. The results did not identify any one organisational model which was better than others. Rather, they indicated that it is important to provide comprehensive guidance on the appropriate level of communication at different stages of risk analysis and, importantly, the steps needed to guarantee independence and transparency of risk assessment. The results, together with interviews in the previous COMRISK project and literature data, were used as the basis for a guidance document. Overall, we recommend closer communication in framing assessment questions and full documentation of meetings to avoid misunderstandings regarding risk managers’ needs and possible deliverables.
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 | 0.031 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.008 |
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".