Gamma Theta Announces 2001 Achievement Awards
Bibliographic record
Abstract
Gamma Theta has announced the winners of the 2001 achievement awards at its meeting during the National Council of Geographical Education national meeting in Vancouver, B.C. (August). The 2001 scholarship recipients are: Kara Beth Gregoire, Eta Gamma Chapter, State University of New York at Genesco (Maxfield Undergraduate award). Richard Hunter, Delta Zeta Chapter, South Dakota State University (Richason Undergraduate award), Molly Schmelzle, Theta Mu Chapter Syracuse University (President's Undergraduate award), Susan Dunham, Eta Gamma Chapter, State University of New York at Genesco (Buzzard Undergraduate award) and Kristen Ansanka, Zeta Omega Chapter, University of North Carolina at Charlotte (Buzza rd Graduate Award. The award forthe best student paper in 2001 went to Lisa M. DeChano, a graduate student at Southwest Texas State University for her paper itA Comparison of Clustering Techn iques Using Biogeographical Data."
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.015 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.200 | 0.170 |
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".