Technological Progress in US Agriculture: Implications for Biofuel Production
Bibliographic record
Abstract
This paper evaluates in a holistic way major trends in US production of food, feed, and biofuel commodities over the period 1961-2014. It is motivated by literature that examines parts of the changes but does not integrate them. We develop a comprehensive data set and then conduct analysis of the major trends that emerge. We identify eight major trends and then combine them to four major themes. The first theme is the huge gain in agricultural productivity over this period. An important component of this theme is that the productivity gain was sufficient to achieve substantial total production growth as agricultural land declined over the period. Second, there has been a major transformation of the livestock sector as less efficient and more expensive beef has been replaced by more efficient and less expensive poultry. As this change has happened, the livestock sector has become more land efficient, less land used in livestock. The third major change is that US calorie production is now substantially more than the needs for food and feed. Finally, the first three major themes have enabled the fourth, which is growth of US renewable fuel production, while agricultural land declined over time.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".