Using iPods & iPhones for Hands on Programs (HOPs) In Mechanical Engineering Laboratories
Bibliographic record
Abstract
This paper presents a new laboratory experiment recently conducted at Dalhousie University where Apple iPod Touches and iPhones were used to provide Hands On Programs (HOPs). Both iPod Touches and iPhones contain accurate 3-axis accelerometers that can be used to take real measurement of vibrating systems. The Apple App Store contains a number of applications that utilize the built-in accelerometers. A basic free App was downloaded by the students. The department rapid prototyped a simple iPod / iPhone holder attached to a cantilevered vibrating beam and after a brief familiarization period the students collected the raw data and emailed themselves the results over the classroom Wi-Fi. The students then analyzed the data using an instructor-supplied spreadsheet. This lab allowed the students to be introduced to such concepts as: data collection, vibration of continuous systems, resonant frequencies, quality factor and damping, and finally data analysis.
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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 | 0.001 |
| 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 | 0.000 | 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 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".