Perspectives on 21st Century Agriculture: A Tribute to Walter J. Armbruster
Bibliographic record
Abstract
Table of Contents: The enduring legacy of Farm Foundation, by David P. Ernstes; Passing the torch: The generational transition for nonadvocacy public education and outreach, by Otto C. Doering III; Collaboration and institutional innovation, by Mark A. Edelman; The alternatives-consequences approach, by Harold M. Harris; Role of Farm Foundation in policy education, by Charles W. Stenholm; Enhancing small and minority farm profitability and rural community viability through new partnerships, by Walter A. Hill; Will Extension be relevant in the 21st Century? by Edward G. Smith and Roland D. Smith; U.S. agricultural research and technology policy for the 21st Century, by Julian M. Alston and Philip G. Pardey; Agricultural research and extension policy in retrospect: implications for the future, by Kenneth R. Farrell, John E. Lee, Duane C. Acker and Ronald D. Knutson; In search of economic answers to evolving agrifood issues, by Janet E. Perry; Dynamics of change in agriculture and land grant universities, by Michael V. Martin; Public policy and public engagement: the role of Purdue University, by Victor L. Lechtenberg and John D. Hardin, Jr.; A survey of the policy landscape affecting food and agriculture, by J.B. Penn; Agriculture, food systems, rural communities, and the global marketplace: contradictions and complementarities, by Emery N. Castle; U.S. biofuels: interaction and outlook for agriculture, by Joe L. Outlaw, Luis A. Riberia, Henry L. Bryant and James W. Richardson; U.S. farm policy at a crossroads, by Carl R. Zulauf; The green payment debate: alternative paradigms and resulting tradeoffs, by Sandra S. Batie and David B. Schweikhardt; Incidence of government subsidies and U.S. farm households, by Allen W. Gray and Roman Keeney; From George to George: the relationship between farmers and government, by Barry L. Flinchbaugh; Changing attitudes toward U.S. farm policy, by Ralph E. Grossi; My role in agricultural policy, by Daniel R. Glickman; Creative and entrepreneurial economics: fact or fiction in rural America, by Lionel J. Beaulieu and Stephan J. Goetz; Mobilizing internal and external resources for rural community development, by Cornelia B. Flora, Corry Bredendahl and Susan Fey; Revitalizing rural communities: agricultural producers' emerging role in public and private innovation, by Dawn D. Thilmany and Phil Watson; Globalization: 21st Century agricultural trade and development, by M. Darren Hudson; Increasing the competitiveness of North American agriculture by strengthening NAFTA, by Ronald D. Knutson; Increasing the competitiveness of Mexican agriculture, by Jeffery M. Jones, Rene F. Ochoa and Pablo Sherwell; Vertical integration in future global agrifood supply chains, by Thomas L. Sporleder, Peter D. Goldsmith and Jean Cordier; Policy for GM food: why is it so hard to agree?, by Michele M. Veeman; The road to whole farm programming in Canada, by Douglas D. Hedley; The future of the North American livestock industry: challenges and opportunities, by Michael D. Boehlje; Cooperatives in the 21st Century: challenges and opportunities, Robert A. Cropp; How bioenergy could change land ownership and values, by Michael D. Duffy
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 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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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".