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Record W1901622571 · doi:10.24908/pceea.v0i0.3685

HOLISTIC UNDERSTANDING FOR DESIGN -- THEORY OF TECHNICAL SYSTEMS

2011· article· en· W1901622571 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsProcess (computing)Computer scienceManagement scienceProcess managementSystems theoryRisk analysis (engineering)Systems engineeringKnowledge managementEngineeringBusinessArtificial intelligence

Abstract

fetched live from OpenAlex

Improvements at local to global levels needs holistic understanding of the processes and actors (operators). The theory of technical systems provides a model for a holistic understanding, and a conceptual basis for qualitative thinking. The theory describes a transfo-rmation system, in an environment. Any artificial change (transformation) can be modeled in this way. The environment includes local influences and effects acting on the system and its process, and a general environment (regional, national and global) that covers physical, chemical, societal, economic, cultural, political, ideological, geographic and all other influences, with a link to other areas of study. Technical systems (as main operator) experience a typical life cycle. This leads to consideration of supply networks, globalization, financing, impacts on the environment, and other concepts. The process, and all operators, exhibit typical classes of properties. Each process and operator consists of elements and relationships that form structures of several useful kinds. Anticipating a future involves establishing the requirements, including those that arise from the producing organization. The available technological and scientific information influences the development of individual sorts of transformation system, and enables and limits the changes in culture that can be implemented. A rational methodology for designing newer transformation systems can be proposed. This systematic approach to designing allows use of other design methods, including intuitive working.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.048
GPT teacher head0.209
Teacher spread0.161 · 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