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Uw-Madison And The University Of Guadalajara

2023· book-chapter· en· W4416781578 on OpenAlexaboutno aff
Eduardo Santana-Castellón, Thomas M. Yuill, Paul H. Zedler, Enrique J. Jardel Peláez, Luis Manuel Martínez Rivera, Salvador L. Carranza, Sergio Graf-Montero, Trimothy C. Moremond, Alberto M. Vargas, Ramón Cuevas‐Guzmán, Salvador García-Ruvalcaba, M.A. Wattiaux, M. Moreno, Jocelyne Gacel-Ávila

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMexican Socioeconomic and Environmental Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipIndigenousExpansiveAgricultureDiversity (politics)Natural resource managementCorporate governance

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.746
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.002

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.

Opus teacher head0.006
GPT teacher head0.144
Teacher spread0.138 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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