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
Tangible User Interfaces (TUIs) have been suggested to have the potential to support learning for children. Despite the increasing number of TUI reading systems there are few design guidelines for children, especially for those with dyslexia (a specific difficulty in language acquisition skills). In this paper we discuss four design opportunities and five design recommendations for designing tangible reading systems for children, particularly those with dyslexia. We ground our analysis using theories of the causes and interventions for dyslexia, best multisensory training practices and existing research on TUIs that support learning to read for children. We describe our tangible reading system, called PhonoBlocks, focusing on two core design features which take advantage of these opportunities. We also describe how we iteratively fine-tuned the details of our design based on our recommendations, an expert review and feedback from tutors who work with children with dyslexia every day. We include a discussion of design trade-offs in our process. This design rationale paper contributes to the growing research on designing tangible spelling and reading systems for children.
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 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 | 0.000 | 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) | 0.001 | 0.001 |
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