Uw-Madison And The University Of Guadalajara
Bibliographic record
Abstract
Collaboration between UW–Madison and the University of Guadalajara(UDG) began in the mid-1970s between botanists Hugh H. Iltis and Luz María Villarreal de Puga. In 1979, Iltis, with one of Villareal de Puga’s students, described in Science a new species of wild corn, Zea diploperennis, that was discovered in the Sierra de Manantán. Its benefits to agriculture were discussed in the front pages of The New York Times and it became a symbol of the need to conserve genetic diversity in natural areas and the need to support traditional indigenous agricultural practices. The first 20 years of joint collaboration between UW and UDG led to the establishment of various biological research stations, a federal biosphere reserve, and three university undergraduate and graduate degree programs. Subsequent interdisciplinary grant funding supported the formation of novel inter-municipal watershed and waste management governance agencies. Eventually, the partnership expanded to include 11 additional universities and nongovernmental organizations in the United States, México, Canada, Bolivia, and Ecuador, as well as community-based initiatives in all five countries. Against the backdrop of the Wisconsin Idea, this chapter explores the extensive and expansive engagements between UW and UDG since the 1970s until the present.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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".