Proceedings of the ACM Symposium on Applied Perception
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
It is our pleasure to present the proceedings of the Symposium on Applied Perception (ACM SAP) held in Vancouver, British Columbia, Canada, August 8-9, 2014. ACM SAP, formerly known as APGV, aims to advance and promote research that crosses the boundaries between perception and disciplines such as graphics, visualization, vision, haptics and acoustics. Our eleventh annual event includes exciting new research from all of these disciplines. We held the ACM SAP 2014 conference immediately prior to the SIGGRAPH conference as is customary for every even year of ACM SAP. By doing so, we hope to further promote communication between the core perception and computer graphics communities. The changing of the name to SAP was intended to broaden the scope of the conference and to encourage representation from all aspects of applied perception. We believe that this goal was again met this year. We were delighted to see a number of submissions that included auditory, haptic, and vestibular perception, in addition to the many papers investigating applied visual perception. We had 50 papers submitted for the SAP conference and 23 (16 long and 7 short) of those were accepted through reviews from at least three members of the International Program Committee. Bernhard Riecke also served as Poster's Chair and selected twelve submissions to be included in the meeting both as posters and flash forward presentations.
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) | 0.016 | 0.010 |
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