A new laboratory for the students of the Faculty of Engineering at the University of Sherbrooke to support the characterization and the validation of their prototypes
Bibliographic record
Abstract
In order to help the students of the Faculty of Engineering at the Université de Sherbrooke within the field of product design in engineering, the Laboratory for the Characterization and the Validation of Prototypes (LCVP) has been created. The facilities feature most of the resources needed to conduct experiments toward the estimation and measurement of critical parameters and specifications along the design process but also toward the final validation of a product design. To that end the support of a professional researcher is provided to advise the students toward the proper implementation of their test benches. Overall, the LCVP provides state-of-the-art equipment and competent resources to the students from various departments at both undergraduate and graduate levels therefore improving their product design experience, while enhancing their competencies. This is indeed a unique feature of the LCVP, setting it apart from other initiatives targeted at supporting capstone and student projects.
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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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.093 | 0.025 |
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".