THE INVERTED/INTEGRATIVE/OPEN LAB COURSE: A MECHANICAL ENGINEERING LAB EXAMPLE
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
Based on the CEAB investigation attribute requirements, the Laval University Mechanical Engineering department has entirely modified its philosophy regarding the lab course. This course is now based on teamwork projects that take place throughout the semester. Different experimental setups are available to accommodate up to 20 teams of three students on a 24h/7d schedule. This paper offers some examples of lab benches and problems designed for this approach. To begin, student teams must describe the apparatus on which they will conduct an investigation and propose a problem they intend to study. Next, teams present theoretical background and a literature review. They determine the physical quantities to be measured and describe the measuring instruments to be used. Then, they plan and prepare a test campaign, including development of their own data acquisition, control and processing programs using LabVIEW. Finally, teams conduct their test campaign, analyze the results (including detailed uncertainty analysis) and report on their findings.
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 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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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