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Record W2611927644 · doi:10.18260/p.25629

MAKER: Light-Up Star Floor

2016· article· en· W2611927644 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsStar (game theory)StarsSkyConstellationGlobeEngineering educationComputer scienceEngineeringAstronomyPhysicsMechanical engineeringPsychologyAstrophysics

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.3000.061

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.

Opus teacher head0.065
GPT teacher head0.385
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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