The role of inherently safer design in process safety
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
Abstract The role of inherently safer design (ISD) in process safety assurance has changed significantly over the past 40 years. When first introduced by Professor Trevor Kletz following the 1974 Flixborough explosion, the ISD concept challenged the manner in which process risk was addressed in the chemical industry. The prevailing view of adding on safety devices and implementing procedures aimed at controlling hazards was now complemented by a way of thinking that sought to remove or reduce hazards at their source. The past 20 years have seen ISD mature into an established risk reduction strategy that is widely known in principle and increasingly adopted in practice. The current paper reviews the authors' collaborative research efforts aimed at integrating ISD into various process safety systems, activities, and applications. The primary inherent safety principles (minimization, substitution, moderation, and simplification) are explained with example‐based guidance provided for their use. ISD features and performance indices are examined throughout the early design and operational stages of a typical process life cycle. Preventing and mitigating undesirable occurrences such as domino effects and dust explosions are shown to be feasible by adopting an inherent safety approach. The importance of reviewing ISD case studies developed from incident investigations is also discussed. Finally, we present our personal opinions on the current status of inherently safer design and future possibilities for its continued growth.
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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 | 0.002 | 0.003 |
| 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 | 0.000 |
| Open science | 0.001 | 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