Bibliographic record
Abstract
This is a continuation of lists of dissertations begun in the July 1970 issue of Western Historical Quarterly . The dissertations listed here were selected from Digital Dissertations , an online version of Dissertation Abstracts International (Ann Arbor, MI). All of the following dissertations were published in 2015. Jessica Nelson is an editorial fellow at Western Historical Quarterly and a graduate student in history at Utah State University. Cantine, Pamela Ann, “Balancing Life: Women, Family, and Work in California Agribusiness,” University of California, Riverside, 2015. AAT 10010598. McCollom, Jason, “Political Harvests: Transnational Farmers’ Movements in North Dakota and Saskatchewan, 1905–1950,” University of Arkansas, 2015. AAT 3685658. Nygren, Joshua M., “Soil, Water, and the State: The Conservation-Industrial Complex and American Agriculture since 1920,” University of Kansas, 2015. AAT 3708159. Ahlstedt, Wilbert Terry, “John Collier and Mexico in the Shaping of U.S. Indian Policy: 1934–1945,” University of Nebraska–Lincoln, 2015. AAT 3689614.
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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.548 | 0.450 |
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".