Bibliographic record
Abstract
Brettell's new book provides new insight into the processes of migration and transnationalism from an anthropological perspective. It has been estimated at the turn of the millennium that 160 million people are living outside of their country of birth or citizenship. The author analyzes macro and micro approaches to migration theory, utilizing her extensive fieldwork in Portugal as well as research in Germany, Brazil, France, the United States and Canada. Key issues she discusses include: the value of immigrant incorporation vs. assimilation models; the impacts on individual, household and community as well as institutions and states; the role of ethnicity and ethnic groups; the effects of clandestine or illegal immigration; the differing commitments to host vs. sending communities; the shift from city enclaves to suburban areas; the constraints and opportunities that lead to ethnic entrepreneurship; the role of religion in transnational linkages; and the differing experiences of men and women as migrants. Brettell also explores the relevance of life histories and oral narratives in understanding the immigration process and the mediation of boundaries in a new society. This book provides a fresh perspective on the contemporary experience of migration and will be indispensable to instructors and researchers in anthropology, race and ethnic studies, immigration studies, urban studies, sociology, and international relations.
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 | 0.001 | 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 | 0.013 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".