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Record W2784521223 · doi:10.52842/conf.acadia.2013.191

Programming In The Model — A New Scripting Interface for Parametric CAD Systems

2013· article· en· W2784521223 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACADIA quarterly · 2013
Typearticle
Languageen
FieldComputer Science
TopicSpreadsheets and End-User Computing
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer scienceScripting languageKey (lock)Programming paradigmProgramming languageHuman–computer interactionLivenessConsistency (knowledge bases)CADApplication programming interfaceSoftware engineeringInterface (matter)Artificial intelligenceEngineering drawing

Abstract

fetched live from OpenAlex

Programming, often called scripting, has become a key feature in most CAD systems and an equally key area of expertise in CAD. However, programming surrenders many of the benefits of direct manipulation and introduces notational elements that are cognitively distant from the designs being created. In addition, it creates barriers to use and is often perceived as being too difficult to apply. We introduce Programming In the Model (PIM) through a prototype, implementing live side-by-side views, multi-view brushing and highlighting, live scripting, auto- translating from modeling operations to script and localized relational information within model windows. A qualitative user study confirms PIM’s features and raises issues for future development. A key result is the need for multi-directional extreme liveness , that is, maintaining consistency of action across views at the smallest possible scale. We argue that PIM principles are applicable in textual and visual programming alike.

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)0.000
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 score0.975
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.034
GPT teacher head0.268
Teacher spread0.235 · 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