Development of a Paddle Sensing System for Studying Paddle Dynamics for Dragon Boating
Bibliographic record
Abstract
Dragon Boat racing is a team sport that involves 20 paddlers in coordination racing against other teams over distances from 200 m to 2000 m. With some races being won by mere seconds, a small desynchronization of the team could mean the difference between winning and losing. Therefore being able to collect data on a rower’s stroke pattern is of great benefit to competitive teams. Using this data a coach can examine stroke profiles for all team members, and address problems as they arise during practice. The objective of this project was to further develop a paddle sensing unit (PSU) that can be used to monitor the paddling patterns of a rower. The improvements were to make the original PSU smaller, mountable to a paddle, and use wireless communication for data transfer. This involved the development of a circuit, designing a housing for the circuit on the paddle, and developing a phone application to collect the transmitted data. Discipline: Physical Sciences Faculty Mentor: Dr. Orla Aaquist
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 | 0.003 | 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 | 0.001 | 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".