A Mechanical Dissection Laboratory using KitchenAid Mixers
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
This paper presents the development of a Mechanical Dissection Laboratory at Dalhousie University using KitchenAid stand mixers. In addition to a reputation for durability, the mixers are very well designed mechanically, and thus serve as an excellent teaching tool for Machine Design. The mixers contain a large number of robust and relevant components, covering almost all of the topics discussed in most Machine Design courses. In this lab students are introduced to topics such as electric motors, planetary gears, helical and spur gears, worm gears, bevel gears, shafts and couplers. Students work in small groups of approximately three; they are provided with a tool kit, as well as a disassembly manual. After a short safety introduction, the students disassemble the device, taking measurements as they proceed. They then re-assemble the device, and test that it is in complete working order.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 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