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Record W603528622 · doi:10.1533/9781855737488

Health and safety in welding and allied processes

2002· book· en· W603528622 on OpenAlexaboutno aff
Jane Blunt, Nigel C. Balchin

Bibliographic record

VenueWoodhead Publishing Limited eBooks · 2002
Typebook
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWeldingBusinessEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

This edition of Health and safety in welding and allied processes has been extensively revised to take into recent account advances in technology and legislative changes both in the UK and USA. Beginning with a description of the core safety requirements, it goes on to describe the special hazards found in the welding environment - noise, radiation, fume, gases and so on in terms of their effects and the strategies that can be adopted to avoid them. The book takes each major joining technology in turn and discusses the key hazards that are most relevant to each process. There are chapters covering: the common arc and gas welding processes; specialised welding processes; brazing, soldering and thermal spraying; welding and flame spraying of plastics; radiographic inspection; mechanical hazards; noise and vibration; radiation; compressed gases; fume and ventilation; fire and first aid; and welding in situations of increased hazard, such as those requiring special precautions to ensure safe working on vessels contaminated by flammable materials. The aim throughout the book is to explain the hazards clearly and concisely, describe how they arise, and suggest practical methods to achieve safe working. Health and safety in welding and allied processes is an essential resource for welders, their managers and all health and safety practitioners who have welding and related processes taking place in their workplaces. A completely revised new edition of the definitive work on welding health and safetyProvides detailed risk analysis for all the major processesShows how to set up effective workplace systems for risk assessment, first aid and reporting

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.006

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 head0.089
GPT teacher head0.318
Teacher spread0.228 · 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

Citations46
Published2002
Admission routes1
Has abstractyes

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