<scp>NFPA</scp> 660: What you should know
Bibliographic record
Abstract
Abstract NFPA 660, Standard for Combustible Dusts and Particulate Solids , became effective on December 6, 2024. This standard is the product of an effort, extending over a decade, to make the National Fire Protection Association (NFPA) requirements for the safe handling of combustible dust, easier for the user to understand and apply. This effort began in March 2011 and was complete in the fall of 2024, with the publishing of NFPA 660. The result, NFPA 660, is organized into chapters establishing requirements fundamental to all combustible dusts, followed by individual chapters providing additional requirements specific to each industry or commodity. In this article, the authors draw on their experiences working on multiple NFPA committees, conversations with committee members, and reviews of the NFPA 660 with multiple stakeholders, to describe the organization of the standard, provide a high‐level summary of the requirements, and share major updates and changes from previous combustible dust standards. Readers will gain an understanding of the requirements, learn what changes will need to be made to existing programs already in compliance with previous standards, and know how to navigate the standard to find the information they need to ensure safe operation of facilities processing and handling combustible dusts.
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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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.099 | 0.106 |
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".