Minutes of the August, September, and December 2022 Council Meetings
Bibliographic record
Abstract
Rathgeb Smith introduces updates on association programming and operations.Smith reports that the renovation at the APSA headquarters is largely complete, with staff having returned to in-office work one day each week.APSA has resumed some in-person programming as well as increasing non-Annual Meeting virtual programming.The Ralph Bunche Summer Institute resumed in-person programming in 2022.Fourteen students participated in the six-week institute at Duke University, with six students attending the Annual Meeting in Montreal.Smith and Allendoerfer highlight teaching and learning programming, which includes both in-person and virtual teaching symposia and webinars on teaching strategies for breaking news topics.They also report that the 2023 Teaching and Learning Conference will be held in Baltimore, Maryland, from February 10-12.Smith continues by reporting that APSA has increased offerings for professional development workshops and will have more than 50 professional development-focused events at the Annual Meeting.Next, he reports that the Centennial Center has awarded nearly $500,000 in grant funds in 2022, with increases in both grant applications and total grants awarded.Smith notes that the Institute for Civically Engaged Research (ICER), with support from the Ivywood Foundation, returned to in-person programming at Tufts University and had 20 ICER fellows complete trainings and workshops over four days in summer 2022.He further reports the continued success of the NSF-funded Doctoral Dissertation Research Improvement Grants (DDRIG).He notes that APSA is planning to submit a grant renewal proposal in late 2022 or early 2023.Smith concludes his report by outlining strategic issues facing APSA.He notes that similarly to other academic associations, APSA is facing pressure on traditional revenue sources such as membership, publishing, and the Annual Meeting, and that APSA will need to be flexible in terms of funding and programming models moving forward. ANNUAL MEETING UPDATEVande Bunte introduces an update on the upcoming APSA Annual Meeting in Montreal.She reports that there will be more than 1,200 in-person panel and posters sessions, including 46 theme panels, 50 professional development panels, 30 short courses and research
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.164 | 0.070 |
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".