GROUPLAB AT SKIGRAPH
Bibliographic record
Abstract
The Western Computer Graphics Symposium, nicknamed 'SkiGraph', is an annual professional meeting comprising mostly graphics researchers and their graduate students from Western Canada. In 2000, several Western Canadian researchers in Human Computer Interaction: Saul Greenberg (U.Calgary), Carl Gutwin (U. Saskatchewan), Kori Inkpen (Simon Fraser) and Sheelagh Carpendale (U. Calgary) agreed to use Skigraph as a way to get themselves and their graduate students together, where students would present papers describing their research. Because it was important for all graduate students to share their ideas, the papers written could range from identification of research areas and tentative proposals of research problems all the way to detailed results from mature work. This research report collects five research papers by students at Grouplab to SkiGraph (Grouplab is the laboratory for human computer interaction research at the University of Calgary). The papers are listed below. In all cases, the students are the first author followed by faculty members who have supervised or contributed to the work in one way or another. Individual papers may be cited directly by including the following information.
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) | 0.019 | 0.003 |
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".