The Forgotten Diaspora: Mesoamerican Migrations and the Making of the U.S.-Mexico Borderlands
Bibliographic record
Abstract
Before his 1591 relocation to the Chichimeca frontier (the present-day Bajío region of Mexico), the Tlaxcalan migrant Domingo Morales recorded a will. He left land to his children, who would not make the journey. To ensure his own salvation, Morales provided for a Holy Mass. Exile, his instructions reveal, was spiritually, economically, and psychologically taxing. After all, Morales composed his testament out of fear that he might “die along the road” (p. 84). This is one of the many Nahuatl documents that the public historian Travis Jeffres examines with meticulous yet sensitive precision in The Forgotten Diaspora. By supplementing this overlooked source base with Spanish-language accounts from viceregal administrators and Inquisition authorities, Jeffres unravels the Indigenous diaspora's sociopolitical history in the sixteenth and early seventeenth centuries. Throughout, he interpolates productive insights from ethnohistory, linguistics, and scholarship dedicated to colonial Mexico. Critically, this engaging study illuminates myriad forms of Indigenous agency that flourished amid imperial expansion and colonizers' intensifying efforts to subjugate Mesoamericans.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".