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Record W2542749931 · doi:10.1109/tia.2016.2622683

The Canadian Electrical Code for Hazardous Locations Has No Class—But it Does Have Significant Changes

2016· article· en· W2542749931 on OpenAlexaboutno aff
Marty Cole, W. G. Lawrence, David S. Adams, Tim Driscoll

Bibliographic record

VenueIEEE Transactions on Industry Applications · 2016
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsClass (philosophy)Hazardous wasteDivision (mathematics)Computer scienceCommissionEngineeringArtificial intelligenceMathematicsWaste managementPolitical scienceArithmeticLaw

Abstract

fetched live from OpenAlex

The world moved one step further from the U.S. National Electrical Code (NEC) [2]. For decades, both the CEC and NEC have used the term “Class” to identify the various types of hazardous materials. The 23rd edition of the CEC has removed the term “Class” from Section 18 and replaced it with the International Electrotechnical Commission (IEC) Zone system. Class I, which was changed in 1998 to include Zones, becomes simply Zones 0, 1, and 2. Class II and Class III were merged to become Zones 20, 21, and 22. Fig. 1 shows the introduction of hazardous location requirements into the CEC. All new construction must use the new system for area classification. The legacy “Class” and “Division” system was relocated to Appendix J. The CEC does allow for continued use of the Class/Division System in existing facilities. However, all new facilities must use the Zone System for all Explosive Atmospheres. This change does not prevent the use of Class/Division equipment in the Zone System. Tables were added that identify the types of Class/Division electrical equipment that can be used in the various Zones designated locations. The CEC approach differs considerably from the NEC. Although the NEC contains a variation of the IEC full system in Article 505 and Article 506, it permits the user to select either the Class/Division or Class/Zone system. This paper will explain the changes to the CEC and highlights the differences between it, the IEC system and the NEC.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.147
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0060.004
Scholarly communication0.0060.004
Open science0.0030.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0530.047

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.

Opus teacher head0.098
GPT teacher head0.345
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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