CAPSTONE DESIGN PROJECTS WITH INDUSTRY PARTNERS: A 6-YEAR EXPERIENCE REPORT
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.
Bibliographic record
Abstract
Since 2013, the fourth-year capstone design courses for the electrical and computer engineering programs at UBC are working only with projects defined by industrial partners. These capstone courses run over two terms (September to April) and are worth 10 credits. The projects involves teams of five students, which follow a common timeline, produce a common set of deliverables, and have a common evaluation scheme –with some latitude for variation based on the nature of the project and the type of partner. A key objective is to include non-technical graduate attributes, the so-called “soft skills”, in our learning outcomes. In this paper, we describe our current course framework, our constraints and design choices, and we report lessons learned and improvements implemented over 6 years.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it