Pioneers, Refugees, Exiles, and Transnationals: Gendering Diaspora in an Ethno-Religious Context
Bibliographic record
Abstract
This paper examines four women who immigrated to Canada within diasporas originating in disparate times and places: an Amish woman escaping persecution in Bavaria in the early nineteenth century; a woman displaced from Ukraine during the Second World War; a political exile from Central America in the 1980s; and a contemporary transnational migrant with homes in Canada and Mexico. While they all identify with a particular ethno-religious community, the Mennonites, their commonalities rest more on similar experiences of uprooting and settlement, as well as their familial roles. In the case of each story, the diasporic experience de-stabilized gender identities and revealed the mutability of ethno-religious markers. The paper suggests that frameworks of diaspora and transnational movement offer a better way to understand the gendered experiences of these women, rather than traditional ideological and progressive concepts of migration.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.022 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".