Bibliographic record
Abstract
When Latino migration to the U.S. South became increasingly visible in the 1990s, observers and advocates grasped for ways to analyze "new" racial dramas in the absence of historical reference points. However, as this book is the first to comprehensively document, Mexicans and Mexican Americans have a long history of migration to the U.S. South. Corazon de Dixie recounts the untold histories of Mexicanos' migrations to New Orleans, Mississippi, Arkansas, Georgia, and North Carolina as far back as 1910. It follows Mexicanos into the heart of Dixie, where they navigated the Jim Crow system, cultivated community in the cotton fields, purposefully appealed for help to the Mexican government, shaped the southern conservative imagination in the wake of the civil rights movement, and embraced their own version of suburban living at the turn of the twenty-first century. Rooted in U.S. and Mexican archival research, oral history interviews, and family photographs, Corazon de Dixie unearths not just the facts of Mexicanos' long-standing presence in the U.S. South but also their own expectations, strategies, and dreams.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.124 | 0.026 |
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".