Portfolio of American Agriculture
Bibliographic record
Abstract
The posters here include the following: [1]. Landscape, West Concord, Minnesota / artist, David Granahan -- [2]. Southwest impression, Colorado plateau / artist, Michael David Brown -- [3]. Dawn, Mahomet, Illinois / photo by William Kuykendall -- [4]. Sorghum processing, Carnesville, Georgia / photo by Ray Lustig -- [5]. Harvest break, Presque Isle, Maine / USDA photo by George Robinson -- [6]. Roundup, Augusta, Montana / photo by Lowell Georgia -- [7]. Sheep, Underhill, Vermont / photo by George Robinson -- [8]. Cotton harvesting, Vienna, Georgia / USDA photo by Ray Lustig -- [9]. Miracle crop [soybeans], Vienna, Georgia / photo by Ray Lustig -- [10]. Homegrown [tomatoes and okra], southern Maryland / photo by Ray Lustig -- [11]. The flag, Kossuth County, Iowa / photo by Thomas DeFeo -- [12]. Apple harvest, Rappahannock County, Virginia / photo by Byron Schumaker -- [13]. Super cabbage, Palmer, Alaska / photo by Charles O'Rear -- [14]. Sugarcane fields, Pearl City, Hawaii / photo by Charles O'Rear -- [15]. Wyoming morning, Grant Tetons, Wyoming / photo by Jonathan Wright -- [16]. The Palouse, Pacific Northwest / photo by Doug Wilson -- [17]. Corn harvesting, Cedar Falls, Iowa / photo by Thomas DeFeo -- [18]. Rural farm, New Hampshire countryside / artist, Jim Schleyer. Please note that posters #1 and 12 are missing from the Portfolio of American Agriculture series and are, therefore, not listed here.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.696 | 0.521 |
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".