Report on Bridges 2016—In Memory of Our Founder, Reza Sarhangi (1952–2016)
Bibliographic record
Abstract
Report on Bridges 2016 -- In Memory of Our Founder, Reza Sarhangi (1952-2016) Carlo H. Sequin, EECS Computer Science, U. C. Berkeley For the last decade, Bridges has been the premiere international conference devoted to mathematical connections in art, architecture, music, and many other cultural domains. It regularly attracts a few hundred participants -- artists, mathematicians, computer scientists, teachers, etc. -- from dozens of countries. The first conference was organized by Reza Sarhangi [1] in Winfield, Kansas, in 1998. Since then it has moved through nine different countries and diverse places such as London (UK), Seoul (South Korea), Pecs (Hungary), Granada (Spain), Coimbra (Portugal), Leeuwarden (the Netherlands), and Banff (Canada). You can learn more about the origins and history of this conference series in an article by Kristof Fenyvesi, one of the organizers of this year’s conference [2]. This year, the annual Bridges conference was held in a particularly beautiful and serene location: The University of Jyvaskyla in Finland. The facilities in the Agora Center were superb: comfortable, modern auditoriums and pleasant, more intimate meeting rooms. Everything was well-signed and easy to find, and there was also a great cafeteria in the same building! The conference comprised four days of talks and interactions plus an optional excursion day. The formal, refereed part of the conference entailed 10 plenary presentations, 40 regular papers, 61 short papers, and 17 “hands-on” workshops. At any time, there were many interesting options in four parallel tracks, and it was often difficult to choose which session to attend. Fortunately, the complete printed proceedings were available at registration time; this allowed one to make informed – but still very hard – choices. Bridges is much more than just the presentation of submitted papers. There is also a curated art exhibition, a festival of short mathematical movies, a session of mathematical poetry, and an informal theatre event performed by conference participants. Moreover, participants who did not want to formally present a refereed paper can still give 10-minute oral summaries in a couple of “abstracts only” sessions and could also display tangible works that they brought to the conference in a large “Show and Tell” area in the lobby and its adjacent corridors. University Hotel Alba, Jyvaskyla The lobby of the conference building Sadly, this was the first conference where Reza Sarhangi, the founder of this conference series and the President of the Bridges organization, could no longer be with us and infect us with his boundless enthusiasm. The conference started with a touching memorial session, where Bridges board members and friends shared fond memories of interactions with Reza [1]. We all miss him very much as a person; but it was also clear, that he was present in spirit and that he lives on through his various legacies: the annual Bridges Conferences, the Mini-Bridges Symposia, and a whole shelf full of beautiful and inspiring Bridges Proceedings!
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.231 | 0.196 |
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".