Application of Systems Theoretic Process Analysis and Failure Modes and Effects Analysis to Process Reliability and Occupational Safety and Health in Construction Projects
Bibliographic record
Abstract
Construction, a leading industry in many countries, contributes greatly to gross domestic product (GDP). In a construction project, several processes must be performed with high reliability and quality, while maintaining the occupational safety and health (OSH) of workers. This paper explores the process reliability and OSH related analysis of the subsystem related to epoxy resin application on concrete structure, using systems theoretic process analysis (STPA), and failure modes and effects analysis (FMEA). The STPA focuses on the hierarchical control structures of a system/subsystem, their unsafe control actions (UCAs), and the causes of the UCAs. Meanwhile, the FMEA emphasizes the potential failures in a system/subsystem, as well as their modes, effects, causes, and ranking. On the subsystem related to epoxy resin application, the two approaches yield complementary results, which can be used in the industry to improve process reliability and OSH.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".