VisSTREAM: VISUALIZING TEMPORAL MULTIMEDIA CONVERSATIONS
Bibliographic record
Abstract
Casual interaction is recognized as the backbone of everyday collaboration, where a wealth of valuable information is exchanged by people in brief and impromptu but context-rich meetings. Within CSCW, many researchers strive to support casual interaction between distance-separated collaborators through specially designed groupware systems. Early versions of these systems, such as media spaces and instant messaging systems, presented only one or two media channels for supporting interpersonal awareness and resulting interactions. However, more recent systems offer many media channels in an effort to emulate the rich contextual information visible in the everyday world. One such system built in our laboratory is the Notification Collage, which lets people post various media elements to a publicly viewable electronic work surface. Media elements include text notes, images, slide shows, web pages, video snapshots, one's computer screen, and so on. The idea is that these rich information sources provide the group with awareness not only of each other's interpersonal state, but of interesting artifacts; the consequence of this awareness will be many casual interactions.
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.
How this classification was reachedexpand
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) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".