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
We present MorePhone, an actuated flexible smartphone with a thin-film E Ink display. MorePhone uses shape memory alloys to actuate the entire surface of the display as well as individual corners. We conducted a participatory study to determine how users associate urgency and notification type with full screen, 1 corner, 2 corner and 3 corner actuations of the smartphone. Results suggest that with the current prototype, actuated shape notifications are useful for visual feedback. Urgent notifications such as alarms and voice calls were best matched with actuation of the entire display surface, while less urgent notifications, such as software notifications were best matched to individual corner bends. While different corner actuations resulted in significantly different matches between notification types, medium urgency notification types were treated as similar, and best matched to a single corner bend. A follow-up study suggested that users prefer to dedicate each corner to a specific type of notification. Users would like to personalize the assignment of corners to notification type. Animation of shape actuation significantly increased the perceived urgency of any of the presented shapes.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.007 |
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