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
Welcome to Graphics Interface 2008. This annual conference, now in its 34th year, is devoted to computer graphics, interactive systems, and human-computer interaction. Graphics Interface occupies a unique niche among conferences in that it seeks to both combine and bridge research topics in and across these areas. Beginning in 1969 as the Canadian Man-Computer Communications Seminar (CMCCS), it is the oldest regularly scheduled computer graphics and human-computer interaction conference. This year, Graphics Interface was held May 28-30, 2008 in Windsor, Ontario. We received a total of 85 submissions, of which 34 papers were accepted. The final program is balanced between HCI and computer graphics, with both tracks seeing similar acceptance rates: 41% for the HCI track, and 39% for the graphics track. Twenty international experts served on the program committee, solicited and managed reviews from a wide body of other experts and helped to select a very high quality set of papers for this year's conference. The great majority of papers received four reviews, two of which were from program committee members.
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 | 0.001 | 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