MétaCan
Menu
Back to cohort
Record W2327427453 · doi:10.1115/pvp2012-78130

A Review and Remediation of a Code Non-Compliance Incident: Lessons Learned

2012· review· en· W2327427453 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVolume 1: Codes and Standards · 2012
Typereview
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCode (set theory)Code reviewReworkComputer scienceProcess (computing)Software engineeringConfusionEngineering design processEngineeringRisk analysis (engineering)Static program analysisSoftwareSoftware developmentProgramming languageBusinessMechanical engineering

Abstract

fetched live from OpenAlex

The ASME Codes address the needs of industry and the public for the construction of safe equipment for pressure containment. The two basic philosophies underlying the requirements of the ASME VIII sections are “rules based” design versus “design by analysis”. Code contributors have written extensively on the need for Code users to apply common sense when using the Code. This message is often lost in the confusion when atypical mechanical design details have been intentionally or inadvertently used. Those atypical design details that can be identified during the review process can be easily resolved; details that are discovered after construction completion and, worse yet, just prior to operation can be devastating to a project. The Code places emphasis on education, experience and the use of engineering judgment but, these can never be used to overrule mandatory requirements or specific prohibitions of the Code. A specific incident is reviewed wherein the regulatory authority of the jurisdiction intervened and de-registered a vessel design due to Code non-compliance. Although the deficient detail was thought to be better, based on consideration of engineering principles, than the detail strictly meeting Code requirements, the as-constructed detail was rejected by the regulatory authority. Extensive field rework ensued to modify the detail to conform to Code, and of course the costs were very high. This paper reviews the engineering issues, illustrates the motivation for the Code requirements, and serves as a reminder to Code users to be vigilant in the details of Code construction.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.071
GPT teacher head0.340
Teacher spread0.269 · 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