PROCESS SAFETY MANAGEMENT LEARNING MODULE
Bibliographic record
Abstract
An engineer’s paramount duty is to protect the welfare of the public. This duty includes ensuring that technical systems are designed and operated as safely as possible. This is achieved by minimizing the risk of injury or harm to people, property and the environment. Process Safety Management (PSM) is a framework for managing process risks associated with the storage, handling and manufacturing of hazardous substances, but the general principles are not industry-specific. The ultimate goal of PSM is to prevent the occurrence of major hazard incidents for the lifetime of the process, regardless of changes in personnel, organization, or environment. In PSM, a hazard incident is the unintended release of harmful substances or energy from equipment that is meant to contain it. PSM requires organizational commitment, and active participation of all stakeholders. PSM is based on process knowledge combined with systematic hazard identification and risk analysis. Risk is a measure of the probability and severity of a hazard incident. While risk is never zero, it can be minimized by taking measures to reduce the probability of occurrence, and to limit the severity of the consequences. Measures to reduce risk include inherently safer design, improving operating procedures, safer work practices, improving maintenance procedures and process documentation, improving management of change, and planning for responding to incidents. PSM systems undergo continuous improvement by incorporating lessons from hazard incidents, measuring and auditing performance, and generally learning from experience. Western University has developed a learning module on Process Safety Management to introduce engineering students to these important concepts. The module has been developed using PowerPoint, and is fully editable by instructors to suit specific learning objectives. The module includes numerous case studies to illustrate important PSM concepts, and a library of sample quiz questions is also included.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.342 | 0.150 |
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".