<i>Great Plains Research: A Journal of Natural and Social Sciences</i> Volume 19, Number 1 (Spring 2009): Table of Contents
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.
Bibliographic record
Abstract
Social Sciences\nSocioeconomic Impacts of Developing Wind Energy in the Great Plains (F. Larry Leistritz and Randal C. Coon) .............. 3\nArcheological Interpretation of the Frontier Battle at Mud Springs, Nebraska (Peter Bleed and Douglas D. Scott) .............. 13\nNatural Sciences\nCauses and Impacts of Salinization in the Lower Pecos River (Christopher W. Hoagstrom) .............. 27\nNear-Surface Soil-Water Monitoring for Water Resources Management on a Wide-Area Basis in the Great Plains (Hubbard, You, Sridhar, Hunt, Korner, and Roebke) .............. 45\nPrecipitation Event Size Controls on Long-Term Abundance of Opuntia Polyacantha (Plains Prickly-Pear) in Great Plains Grasslands (Lauenroth, Dougherty, and Singh) .............. 55\nEcology of Small Mammals, Vegetation, and Avian Nest Survival on Private Rangelands in Nebraska (Fricke, Kempema, and Powell) .............. 65\nMarginal Value of Irrigation Water Use in the South Saskatchewan River Basin, Canada (Antony Samarawickrema and Suren Kulshreshtha) .............. 73\nHistorical Changes in the Occurrence and Distribution of Freshwater Mussels in Kansas ( Angelo, Cringan, Hays, Goodrich, Miller, VanScoyoc, and Simmons) .............. 89\nBook Reviews .............. 127\nNews and Notes .............. 143
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it