MétaCan
Menu
Back to cohort
Record W2130700278 · doi:10.1109/pacrim.1993.407279

Design support through information systems

2002· article· en· W2130700278 on OpenAlexaff
O.R. Fauvel, Peng Gu, Douglas H. Norrie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPremiseComputer scienceInformation systemFunction (biology)Information designProcess (computing)Systems designEngineering design processHuman–computer interactionSoftware engineeringProgramming languageEngineering

Abstract

fetched live from OpenAlex

The authors address some speculations on the extent to which design of products and systems may be enhanced by integrative information systems. The premise is put forth that information is the currency of design and it follows that the degree to which information retrieval, communication, and processing can be facilitated will reflect the potential advantages accruing to the process of design. It is noted that the design of information systems can be guided by these objectives and the associated patterns of use. There is seen to be a potential to develop information systems geared to the support of an increasingly wide range of activities within the design process. To a large extent this potential is predicated upon the expanded use of function-oriented language, which will have to be grown with the purpose of capturing and communicating conceptual information as well as nonnumerical information.>

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)0.010
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.006
Scholarly communication0.0140.017
Open science0.0030.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0300.006

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 head0.053
GPT teacher head0.242
Teacher spread0.189 · 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 designTheoretical or conceptual
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

Citations0
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicDesign Education and PracticeFrench-language works237,207