Bibliographic record
Abstract
Montreal was a hospitable and popular site for the 2013 Annual Meeting, which was attended by nearly 600 people. In the off-season, downtown Montreal seemed generally dominated by the pleasant bustle of business and students from nearby McGill. All seemed quiet at night, but then there was the noble and magnificent traffic jam after the Canadiens' hockey game Monday night, which we could all view as light sculpture from our perch in the Salon Club at the SIG/III International Reception. The reception was a significant highlight of the meeting as 41 different countries were represented this year. I was especially impressed with the energy and enthusiasm of the newly created Asian Chapter and of the European Chapter, which won the 2013 Chapter-of-the-Year Award. In this issue of the Bulletin, we give you a taste of the Annual Meeting with a look at a variety of conference activities. We begin in Inside ASIS&T with a photo montage of people, places, sessions, parties and other events we enjoyed in Montreal. We then segue into full coverage of the winners of this year's prestigious ASIS&T Annual Awards and a report from the James Cretsos Leadership Award winner Chirag Shah on what ASIS&T means to him both personally and professionally. Continuing the Annual Meeting coverage in our feature section, we begin with reports from pre-conference workshops by SIG/USE, SIG/MET and SIG/SI, in which these active SIGs offered intense programs of papers, speakers, posters, panels, discussion groups and award presentations focused on their own specialties. Steve Hardin reports on the talk by Jorge Garcìa, this year's keynote speaker. We have also included Award of Merit recipient Carol Kuhlthau's acceptance speech as well as viewpoints on information science from ASIS&T Research Award recipient Susan Herring. On his President's Page, Harry Bruce updates us on upcoming actions being taken as a result of the Web Presence Task Force and on steps for expanding membership. And finally, our RDAP Report is by Christopher Eaker of the University of Tennessee Libraries, who discusses resources available for educating researchers, especially graduate students, about data management.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.002 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".