Building Augmented and Virtual Reality Experiences for Children with Visual Diversity
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
Currently, a binational network of universities carries out a collaborative project which seeks to promote inclusion and education in environmental issues for children. The so-called ''Colombia-Québec collaborative project'' seeks to develop interactive narratives about four Colombian animals to help develop language, cognitive and motricity skills in children while they gain awareness of endangered animals. Chosen animals include the cotton top tamarin, the jaguar, the spectacled bear, and the condor. We are building several interactive systems which take advantage of augmented and virtual reality technologies to expand narratives developed by speech and language therapists. Our goal is to use these systems to study the effects of the virtuality continuum in visually diverse children's development. We present our advances towards achieving it.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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