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4.6.3 A Self‐assessment Scheme and an Evaluation of its Reliability based on ISO 9004:2000

2007· article· en· W2014089987 on OpenAlex
Young‐Ha Hwang, Sang‐hyun Kim, Dong‐young Kim

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

VenueINCOSE International Symposium · 2007
Typearticle
Languageen
FieldDecision Sciences
TopicReliability and Agreement in Measurement
Canadian institutionsCarleton University
Fundersnot available
KeywordsReliability (semiconductor)AuditComputer scienceQuality (philosophy)Self-assessmentProcess (computing)Scheme (mathematics)Quality auditReliability engineeringRisk analysis (engineering)Process managementBusinessAccountingMathematicsEngineeringPsychology

Abstract

fetched live from OpenAlex

Abstract The self‐assessment based on ISO 9004:2000 in quality management system is an important process for the organization that continually improves its performance considering the effectiveness and efficiency of a quality management system. The scheme and process of the internal audit and self‐assessment based on ISO 9001:2000 and ISO 9004:2000 is an issue that continues to demand the attention of researchers in this field. Also, the reliability of self‐assessment results is a remarkable issue. One element of reliability is the extent to which different teams assessing the same project produce similar ratings when presented with the same evidence. This paper presents a self‐assessment scheme conducted during internal audits based on ISO 9004:2000 in Electronics and Telecommunications Research Institute in Korea. Furthermore, this paper evaluates the reliability of a self‐assessment scheme analyzing some results from two assessments between two teams in self‐assessment using Cohen's Kappa coefficient (Cohen 1960, Cohen 1968) and the observed agreement index (Jung 2003). The results indicate that the extent of agreement between the two teams is substantial and the self‐assessment scheme is reliable.

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)0.026
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.095
GPT teacher head0.427
Teacher spread0.332 · 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