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Record W2032984906 · doi:10.1108/02686900310482696

Auditing in support of the integration of management systems: a case from the nuclear industry

2003· article· en· W2032984906 on OpenAlexaff
I. A. Beckmerhagen, H. P. Berg, Stanislav Karapetrović, Walter Willborn

Bibliographic record

VenueManagerial Auditing Journal · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Management Systems
Canadian institutionsUniversity of ManitobaUniversity of Alberta
Fundersnot available
KeywordsAuditQuality management systemInternal auditBusinessFunction (biology)Process managementQuality (philosophy)Quality auditManagement systemSystem integrationRisk analysis (engineering)AccountingKnowledge managementComputer scienceQuality managementOperations managementEngineering

Abstract

fetched live from OpenAlex

Integration of function‐specific management systems in organizations is rapidly becoming a topic of interest for managers and auditors alike. This is mainly due to the proliferation of management system standards that foster compliance with the stated criteria for quality, environmental, occupational health and safety, social responsibility and other different aspects of performance. While most of the available literature on this topic focuses on the integration of standards, there is comparatively little information on how to actually build an integrated system internally. This paper hypothesizes that audits can provide an excellent basis for these integration efforts, discussing the prerequisites, strategies and resources necessary for an effective audit in support of integrated management systems. The paper also describes how audits are used to improve a combined quality and safety management system in a German nuclear facility.

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)0.007
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.003
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.236
Teacher spread0.207 · 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 designQualitative
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

Citations30
Published2003
Admission routes1
Has abstractyes

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