MétaCan
Menu
Back to cohort
Record W2389236430

Analysis and Evaluations of the Enterprise Modeling Methodology

2003· article· en· W2389236430 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Petrochemical Universities · 2003
Typearticle
Languageen
FieldEngineering
TopicIndustrial Technology and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsEnterprise modellingIntegrated enterprise modelingComputer scienceSoftware engineeringSystems engineeringEnterprise integrationSoftwareEngineeringManagement scienceEnterprise softwareEnterprise systems engineeringKnowledge managementEnterprise architectureProgramming language
DOInot available

Abstract

fetched live from OpenAlex

It is an important topic for discussion to select an appropriate methodology in enterprise modeling. Enterprise modeling methodology can be classified into three kinds--the unified methodology, the integrated methodology and the systematic methodology. IDEF and GRAI-GIM belong to the unified methodology, while FirstSTEP belongs to the integrated methodology. The integrated methodology can be created by series of forms of modeling language, technology, information bank, modeling tool and application software. Meanwhile, in order to select an enterprise-level management tool, three kinds of modelling tools of METIS, Ptech FrameWork and System Architect in JTA-AF by the United Stated Department of Air Force were evaluated. Furthermore, twelve evaluating elements were created for generic modeling tools. Some evaluating examples abroad were presented in detail for typical modeling tools. The results show good guidance for the selection of modeling methodology.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.131

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.252
Teacher spread0.226 · 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