Supporting Coherence with a 3D Instant Messenger Visualization
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
Instant messengers have become a popular medium for providing awareness of others and supporting casual interaction. To smoothly move into and out of computermediated conversation, coherence is necessary not only as a means to represent conversations, but also to afford an awareness of who is around and if they are available for interaction. We have developed a peripheral visualization for an instant messenger designed to utilize people’s natural cognitive abilities. Each contact is represented by pictures for each availability state (e.g. online, offline) or video snapshots embedded within a 3D environment using a space metaphor. Contacts that are more available— determined as a function of availability state and a viewersettable interest level—are placed in the foreground and contacts less available are placed closer to a single focal point in distant space. The viewer is able to move contacts throughout the space to create a spatial mapping. Contacts that are of interest display conversation bubbles containing incoming messages.
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 | 0.001 |
| 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 | 0.000 |
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