Display and Presence Disparity in Mixed Presence Groupware
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
Mixed Presence Groupware (MPG) supports both co-located and distributed participants, working over a shared visual workspace. It does this by connecting multiple single-display groupware workspaces together through a shared data structure. Our implementation and observations of MPG systems exposes two problems. The first is display disparity, where connecting heterogeneous tabletop and vertical displays introduces issues in how one seats people around the virtual table and how one orients work artifacts. The second is presence disparity, where a participant's perception of the presence of others is markedly different depending on whether a collaborator is co-located or remote. This is likely caused by inadequate consequential communication between remote participants, which in turn disrupts group collaborative and communication dynamics. To mitigate display and presence disparity problems, we determine virtual seating positions and replace conventional telepointers with digital arm shadows that extend from a person's side of the table to their pointer location.
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 | 0.001 | 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