RoboParty: 20 Editions Building Robots and Motivating Youngsters for Science, Technology, Engineering, and Mathematics Subjects [Competitions]
Bibliographic record
Abstract
Robotic products and services are quickly getting into people’s homes, and it is important to prepare the youngsters for new challenges. One way to motivate them is through competitive events[1]. Back in 2006, the Laboratory of Automation and Robotics[2]at the University of Minho[3], Guimarães, Portugal, created a new event calledRoboParty[4]. The main objective is to teach youngsters how to build and program a robot from scratch in a collaborative, fun, and friendly environment. The first edition was held in 2007. Every year the event attracts up to 500 people from different countries. With 13 editions held at the University of Minho, three in Lisbon, and four abroad (in Brazil, Germany, Canada, and Denmark), this event is internationally recognized for its new approach toward learning robotics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.376 | 0.218 |
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 source (direct Gemma or distilled Codex), 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".