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Record W2101246548 · doi:10.1108/09544780010341941

ISO 9000 – 2000 version: implications for applicants and examiners

2000· article· en· W2101246548 on OpenAlexaff
George P. Laszlo

Bibliographic record

VenueThe TQM Journal · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Management Systems
Canadian institutionsInro Consultants (Canada)
Fundersnot available
KeywordsPublicityQuality (philosophy)AuditQuality managementTotal quality managementCompliance (psychology)Quality management systemQuality auditComputer sciencePsychologyOperations managementAccountingBusinessService (business)MarketingSocial psychologyEngineering

Abstract

fetched live from OpenAlex

The 2000 version of ISO 9000 is very exciting for quality practitioners because it embraces the principles of quality management that have received wide acceptance because of the publicity of the various National Quality Awards that are models based on these tenets. However, there are potential difficulties that lie ahead for those organizations that aspire to fulfill the requirements of this new version of ISO 9000 unless they recognize that there is a cultural gap between the new approach required as compared to the previous 1994 version. Similarly, auditors working with the new version must have a different background and approach as the emphasis is being changed from one that has been totally compliance‐based to a new approach that also includes evaluation of management techniques that requires hands‐on experience and judgment. Unless these two types of issues are properly addressed, the 2000 version of ISO 9000 will frustrate applicants and may tarnish the quality movement.

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)0.075
metaresearch head score (Gemma)0.307
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 score0.075
Threshold uncertainty score0.399

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0750.307
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0050.003
Scholarly communication0.0100.008
Open science0.0030.003
Research integrity0.0100.006
Insufficient payload (model declined to judge)0.0110.005

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 head0.030
GPT teacher head0.255
Teacher spread0.225 · 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

Citations26
Published2000
Admission routes1
Has abstractyes

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