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
Computation is increasingly prevalent in the home: it serves as a way to control the home itself, or it is part of the many digital appliances within it. The question is: how can home inhabitants effectively understand and control the digital home? Our solution lets a person examine and control their home surroundings through a mobile display that serves as a 'magic lens', where the detail shown varies with proximity. In particular, HomeWindow is an augmented reality system that superimposes an interactive graphical interface atop of physical but digital artifacts in the home. One can get an overview of a room's computational state by looking through the display: the basic state of all digital hot spots are shown atop their physical counterparts. As one approaches a particular digital spot, more detailed information as well as a control interface is shown using a semantic zoom. Our current implementation works with two home devices. First, people can examine and remotely control the status of mobile domestic robots. Second, people can discover the power consumption of household appliances, where appliances are surrounded by a colorful aura that reflects its current and historical energy use.
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) | 0.000 | 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