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Record W2735789210 · doi:10.18260/1-2--9634

Organization Of The Robo Toy Contest

2020· article· en· W2735789210 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicTeaching and Learning Programming
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCONTESTSession (web analytics)Presentation (obstetrics)CurriculumComputer scienceMultidisciplinary approachFace (sociological concept)Work (physics)Mathematics educationPsychologyPedagogyEngineeringSociologyWorld Wide WebPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Since 1999, a group of professors and students at the Department of Electrical and Computer Engineering (ECE) of the Universit de Sherbrooke has been organizing a robot design contest. The challenge is to design a mobile robotic toy to help autistic children develop social and communication skills. The idea is to see how robots could help autistic children open up to their surroundings, improve their imagination and experience less repetitive behavior patterns. The pedagogical objective is to get students involved in a project that has technological considerations and social impacts. Such an opened and multidisciplinary design project requires careful preparation and the implication of students, faculty and experts. This presentation aim at describing the organization of the RoboToy Contest, to get other universities interested in such rich and fruitful initiative for all.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.959
Threshold uncertainty score0.065

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)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.202
Teacher spread0.186 · 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

Citations3
Published2020
Admission routes2
Has abstractyes

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