Bibliographic record
Abstract
A fundamental for first-year design students is to express ideas by drawing and creating volumetric models. Traditionally, this education includes spatial geometry and generation of forms whereby students learn to appreciate intersections of volumes and projections to describe three-dimensional (3D) forms in two dimensions. However, given the aptitude of today’s students to operate 3D-modelling software and the general accessibility of current technology, spatial geometry as a core subject may seem less relevant. Our goal is to re-engage students in learning required basic knowledge and skills through a complex multifaceted design process. We have designed a first-semester course of four project-based learning activities that apply learning-by-doing methodology. For each of the past three years, 65 to 75 students have participated in our 3D Expression studio course, in which they develop understanding of design process, vocabulary, and skills to create 3D models with precision, refinements, and high-level visual impact. This paper reports on the successful results of activities conducted during the 14 full days of this studio course.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".