Bibliographic record
Abstract
Peruvian Lives across Borders focuses on the transnational lives of middle and upper-class transnational Peruvians. Among the Peruvians whose migration trajectories this book examines, return as a possibility, impossibility, or reality looms large. The lens of return provides one way to understand what transnational Peruvians desire, reject, or feel ambivalent about in constructions of home and Peruvianness. Employing return as a critical lens and through an intersectional approach, the book presents an intentional departure from the more prevalent focus on international labor migrants from lower and working classes in migration scholarship, and particularly among anthropologists. It suggests that a critical examination of middle and upper-class Peruvians’ migration experiences reveals as much about individual trajectories and class dimensions of migration as about broader constructions of Peruvianness and home that inform the everyday lives of Peruvians across multiple differences and spaces. A close look at Peruvian individual lives across settings in the United States, Canada, Germany, and Peru, and affective and material attachments to and practices in those settings, exposes the lived realities of everyday negotiations surrounding return to a home that is fundamentally made up of processes of inclusion and exclusion based on social hierarchies of gender, location, language, race, sexual identity, and class.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".