Bibliographic record
Abstract
Abstract MAKER: Light-Up Star Floor A local engineering and art festival has encouraged collaboration between engineers and artists to bring the joys of science and engineering to the public in beautiful and creative displays. These festivals serve as an excellent platform to pique the public’s interest in engineering and technology and encourage their participation in engineering activities and education. One aspect of the festival is a number of art cars, which are vehicles that often include scientific interactive activities. One such car is Star Car, which was revamped in 2015 to include a spinning globe, interactive touch circuit, and star floor. This star floor was made of seven individual stars which could be moved to illustrate various constellations that could be found in the night sky. These stars were placed on the ground near the Star Car, creating a ‘star floor’. The stars were entirely self-contained and powered by a battery. Apart from knowledge of space and stars, festival participants could learn about basic circuit theory. When enough pressure is placed in the centre of the star (i.e., from someone stepping on it) it causes a pressure switch to connect the battery to a string of light-emitting diodes, resulting in the star lighting up. This circuit knowledge is an extension of the concepts demonstrated by the conductive circuits on the car. The star floor was a huge success and drew the curiosity of children and adults alike. This paper will outline the methods for building the stars. It will detail the decisions to choose specific materials and the design considerations for building the stars to withstand four days of constant use. As well, the paper will include revisions to the design based on their performance at the 2015 festival. Projects such as the star floor invite children to apply the science knowledge they have learned in school to the outside world. These projects also inspire the maker community to challenge their design skills to create something interactive and durable while still remaining creative and awe-inspiring to people of all ages. Finally, by showcasing a more creative and engaging side of engineering and technology, we can inspire K-12 teachers to include more engineering content in their classrooms and attract more students into the engineering profession.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.381 | 0.115 |
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".