Turtle Sport: An Open-Source Software for Communicating with GPS Sport Watches
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
The aim of this article is to introduce an open-source software—Turtle Sport—that is capable of automatically importing the GPS traces of several types of GPS sport watches (Garmin, Polar, Suunto, Timex, TomTom, etc.) or of importing a number of GPS files. The GPS data are also uploaded locally to the researcher’s computer workstation, and not to Cloud, which may raise important ethical issues. Turtle Sport also allows users to: manage a number of users; visualize the traces and statistics for the races; and export the traces to external files (GPX, KML). Developed in Java, Turtle Sport is a stand-alone, multiplatform (Windows, Mac and Linux) and multi-language (11 languages supported) application. The software is available under GNU LGPL 2.1 Licence on SourceForge (https://sourceforge.net/projects/turtlesport/). Funding statement: The publication of the paper was supported by the Canada Research Chair in Environmental Equity (950-230813).
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 | 0.017 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.013 | 0.004 |
| 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