PLEASE DO NOT CITE OR REPRODUCE WITHOUT AUTHOR PERMISSION Migration as preservation and loss: The paradox of transnational living for
Bibliographic record
Abstract
The paradox of transnational living for Low German Mennonite women Luann Good Gingrich is an Associate Professor at York University. Her research has focused on the idea and social realities of social exclusion for Low German Mennonites from Mexico and other traditional Mennonite groups, and mothers who parent alone. Her ongoing work extends her conceptual model of social exclusion in the empirical exploration of the notions of choice and self-imposed social exclusion, particularly for women who engage in transnational livelihoods. Kerry Preibisch is an Associate Professor at the University of Guelph with research interests in im/migrant communities in rural Canada, labour migration and global agro-food systems, and gender and migration. Her latest research explores the new social relations of agriculture in high income countries engendered by the increasing use of migrant labour. Throughout history, Low German Mennonites have executed collective migrations to preserve their religious integrity. Their contemporary migrations to North America are not collective or church-sanctioned, but economically-motivated. This paper explores the intertwined processes of gender and religion in transnational social spaces through the destination experiences of Mennonite women in Canada. The paradoxes of the transnational social field, each simultaneous gain and loss, constitute a double bind wherein choice is elusive. Caught in the contest between physical and cultural survival, women find themselves in the “nothing ” of in-between, as conflicting social fields and systems of capital—secular and sacred—collide. Key words Gender, religion, transnational migration, Low German Mennonites, immigrant integrationMigration as preservation and loss:
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.018 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.001 |
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".