Air Pump – Improvement of a ‘Skyscraper-type’ exercise for Mechanical Engineering Programs
Bibliographic record
Abstract
The ‘Air Pump’ is a current criteria-based 'design-build-test' exercise in the MEC1110 first-year project module. Students work from a ‘functional requirement’ sheet where criteria are related to primary and complementary functions and constraints. Building materials are disposable coffee cups and stir-sticks, freezer bags, and the like. Flow, pressure, and volume are tested. A first reflection phase is individual, followed by a group discussion. Team organisation, time management, responsibilities are discussed as well as ethics (as all had chances to ‘pretend’ on their score-sheets or financial reporting). Some tuning is required to improve the percentage of working pumps, and the benefits of the reflection phase. The teachers of the module hope a collaborative freestyle hands-on exercise by CDIO colleagues will benefit all involved. (A short video 'AirPump(EPM)_iPod.mp4' 16MB can be made available.)
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".