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Record W2906703836 · doi:10.25675/10217/181739

Building resilience of Mongolian rangelands: a trans-disciplinary research conference

2015· article· en· W2906703836 on OpenAlex
María E. Fernández‐Giménez, Batkhishig Baival, Steven R. Fassnacht, David Wilson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Collections of Colorado (Colorado State University) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsnot available
FundersKorea Forest ServiceAgricultural Research ServiceAlabama Agricultural Experiment StationU.S. Forest ServiceMinistry of Education, IndiaNational Research Foundation of KoreaUnited Nations Development ProgrammeNational Research FoundationSocial Sciences and Humanities Research Council of CanadaInternational Development Research CentreUtah State UniversityWarner College of Natural Resources, Colorado State UniversityU.S. Department of AgricultureColorado State UniversityUniversity of CincinnatiLambda Alpha InternationalLamont-Doherty Earth Observatory, Columbia UniversityJapan Society for the Promotion of ScienceNational Geographic SocietyAmerican Center for Mongolian StudiesWenner-Gren FoundationChina Scholarship CouncilMinistry of EnvironmentNational Aeronautics and Space AdministrationJapanese Foundation for Prostate ResearchNational Science Foundation
KeywordsResilience (materials science)RangelandDisciplineEnvironmental resource managementPolitical scienceGeographyEnvironmental planningEnvironmental ethicsSociologyAgroforestryEnvironmental scienceSocial science

Abstract

fetched live from OpenAlex

Mongolia is a semi-arid and arid country in Asia where the climate has been changing more drastically than many other locations across the globe. The proceedings of the "Trans-disciplinary Research Conference: Building Resilience of Mongolian Rangelands" is divided into five sections: 1) Rangeland Ecology and Management, 2) Climate Change and Hydrology, 3) Institutional Innovations in Mongolian Rangelands, 4) Social and Economic Development in Rural Mongolia, and 5) Methods of Knowledge and Data Integration. The papers presented provide cause for concern regarding observed changes in climate, rangeland conditions and livestock populations, as well as reasons for hope and motivations for action to address the current challenges. We hope that this volume and the conference it accompanies, will inspire renewed commitment to support science and science-based policy-making and management to sustain Mongolia's unique natural and cultural heritage as they adapt to a changing planet.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.269
Teacher spread0.222 · 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