MétaCan
Menu
← Back to cohort
Record W6990348724

Design fabrication: welding

2002· other· en· W6990348724 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2002
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWeldingArc weldingRobot weldingWelding power supplyProcess (computing)Electrogas welding
DOInot available

Abstract

fetched live from OpenAlex

This report will link together the importance of understanding different methods of fabrication to the designing ability of an engineer. The fabrication method discussed is welding. In particular, focusing on the Shielded Metal Arc Welding process and the Gas Metal Arc Welding process. Also, communication will be discussed concentrating on the engineer's relationship with the technicians and fabricators. Furthermore, safety is discussed with the intent that safety always comes first. Welding basics will be discussed such as the welding processes, electric welding circuit, welding procedure, positional welding and welding joints. The reader should focus upon the designing process in relation to welding while reading through the report. Relate the ability to become an efficient and effective designer by knowing just one section of the welding process (arc welding) and how your designs will beneficiate. Then realize how many more types of welding processes there are and know that a good designer will know most of them while a great designer will know all of them and as well as the many more methods of fabrication.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.059
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0590.037

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 head0.049
GPT teacher head0.263
Teacher spread0.214 · 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
GenreOther

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

Citations0
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueNPARC→French-language works237,207→