Bibliographic record
Abstract
Ronald H. Bayor is Professor Emeritus of History at Georgia Tech. He is the founding editor of JAEH and a past president of the IEHS. He is the author of, among other titles, Encountering Ellis Island: How European immigrants Entered America (The Johns Hopkins University Press, 2014), and the editor of The Oxford Handbook of American Immigration and Ethnicity (Oxford University Press, 2016).Erika Weidemann Bravo is the Texas A&M University Defense and POW/MIA Accounting Agency Research Partner Historian. Her research focuses on war and population movement, particularly ethnic German immigration to North America after World War II. She published a chapter in European Mennonites and the Holocaust (University of Toronto Press, 2020).dann j. Broyld is Associate Professor of African American History at the University of Massachusetts Lowell. Broyld's book Borderland Blacks: Two Cities in the Niagara Region During the Final Decades of Slavery (2022) is published by the Louisiana State University Press.Jada Cheek is a PhD student and researcher at University of California, Santa Cruz and an aspiring social psychologist. Cheek is a diligent, organized, and independent-minded student dedicated to research related to race, social justice, and anti-racism education in higher education.Tina Langholm Larsen has published articles on Danish American ethnicity and heritage management and tourism. In 2020, she defended her PhD dissertation, “Preserving the Dane: Danish People's Society and the Negotiation of Danish Ethnicity in America, c. 1887–1964,” which explores negotiations of ethnicity and cultural heritage management among Danish immigrants to America and their descendants.Lisong Liu is Professor of History at Massachusetts College of Art and Design and specializes in Asian American history, modern China, and US–China relations.Sarah R. Meiners is a PhD candidate in the Department of History at Cornell University, researching refugee and asylum policy in United States’ territories between 1939 and 2009. She questions how the relationships between federal and local, territorial policymakers—as well as resident and refugee opinions—shaped responses to migration.Juan Ignacio Mora is a postdoctoral fellow at Indiana University, Bloomington's Center for Research on Race and Ethnicity in Society (CRRES) and Visiting Assistant Professor in the History Department. He is currently working on the manuscript for his first book, “Latino Encounters: Mexicans, Mexican Americans, and Puerto Ricans in the Making of the Midwest.”Gianncarlo Muschi is an adjunct professor of Latino Studies at St. Edwards University. He earned an MA in Sociology and a PhD in History from the University of Houston. He investigates topics related to international migration, Latin American history, and US–Latin American relations, with an emphasis on South America.Jeremy Peschard is a PhD candidate in the history department at Cornell University. His research focuses on the exclusion, deportation, and institutionalization of immigrants and other racialized peoples in the US Southwest from the Immigration Act of 1882 to the Mexican Repatriation.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".