Opperman to co‐chair AAA annual meeting; Gregorio, Laitman, Franz‐Odendaal elected to board
Bibliographic record
Abstract
Lynne A. Opperman, associate professor of biomedical sciences at Texas A&M University System Health Science Center, has been chosen as AAA program co-chair and will serve in this position from 2006 to 2010. Lynne A. Opperman Opperman, whose research interests include craniofacial growth and development, intramembranous bone growth, molecular regulation of craniofacial suture development and morphogenesis, succeeds Robert Tomanek in the co-chair slot. She will share the AAA programming role with current program co-chair Marion “Emmy” Gordon. In her candidate's statement, Opperman noted that the anatomical sciences are “undergoing an exciting resurgence with the introduction of sophisticated new techniques for visualizing molecular and cellular events, both in vivo and in vitro.” As program co-chair, she hopes to create crossover areas of interest combining physiological, molecular, and morphological methods, both in research and in education. Also elected to the AAA Board of Directors were Carol C. Gregorio, associate professor of cell biology and anatomy, University of Arizona; Jeffrey T. Laitman, distinguished professor, professor and director of anatomy and functional morphology, professor of otolaryngology, Mount Sinai School of Medicine; and Tamara A. Franz-Odendaal, postdoctoral fellow, Department of Biology, Dalhousie University. Carol C. Gregorio Jeffrey T. Laitman Tamara A. Franz-Odendaal At the AAA Annual Business Meeting held on April 3 in San Francisco, AAA president Kathy Svoboda thanked outgoing board members Robert Tomanek, Chi-Bin Chien, Rochelle Cohen, and J. Matt Velkey for their service, presenting them each with a certificate of appreciation. Members also raised a glass of champagne toasting Duane E. Haines for his service as chairman of the New Anatomist Editorial Advisory Board from the publication's inception in 1998 through 2005.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".