Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
Bibliographic record
Abstract
UbiComp has always included a variety of tracks, including posters, videos, demos, doctoral colloquium and workshops, as well as the main papers and notes track, adding to the richness of the conference and allowing people to present cutting edge work. This year, we are innovating in a number of ways in the posters/demos/videos tracks. First, instead of asking authors to submit separately for each sub-track, we combined them into a single multimodal track using PCS. Reviewers were assigned by the chairs of each track that was chosen by the authors, and were asked to rate work by its value in each of the formats. Out of 79 multimodal submissions, we accepted 18 demos (1 also as video), 26 posters (3 also as videos), and 10 videos (including the shared ones), making a total of 50 accepted adjunct papers out of 79 submissions. Second, we invited all accepted paper and note authors to additionally participate in the adjunct tracks, allowing their work to be shown in more than just the presentation format. At the time of writing we do not yet have the final numbers in, but we hope this allows the audience to see work showcased in the most appropriate format. Third, we are inviting additional demos both from local participants and international labs in order to build a large and exciting interactive programme. Fourth, following Pervasive 2010's successful lead, we are integrating videos into the main sessions to maximize their audience and impact. Finally, and perhaps most significantly, we are extending the adjunct presentations from being confined to a single reception to multiple sessions throughout the conference. This means presenters have a chance to present on one day and then see other demos and posters on another day - something we've been asked for at town halls in the past. In order to achieve this we are cutting out the one minute madness; while a fun event, the time spent on this will instead be used to have more demo/poster sessions which are fun and informative. In addition to the posters/demos/videos tracks, UbiComp 2010 continues its tradition of inviting excellent doctoral candidates to present and discuss their doctoral research in a one-day Doctoral Colloquium preceding the main technical program. During the Colloquium, students receive valuable feedback and suggestions from their peers and a panel of invited industry and academic researchers. This year's DC accepted exciting research abstracts from 10 senior-level PhD students representing institutions in 6 different countries.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.144 | 0.072 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".