The Quest for Family and The Mobility of Modernity in Narratives of Postwar British Emigration
Bibliographic record
Abstract
Abstract In this article I focus on ways in which the postwar generation of British migrants to Canada and Australia construct their stories as epic struggles with family themes of both loss and triumph at the centre. While, during the postwar years, there is among some migrants evidence of the emergence of a more adaptable, sojourning ‘mobility of modernity’, most life stories told by the migrants suggest a more traditional pattern in which family themes dominate. In these narratives postwar migrants structure their accounts along traditional ‘epic story’ lines reminiscent of Oscar Handlin's long superseded thesis about dislocation in the old country, alienation in the new and ultimate triumph over material and cultural obstacles. But the ‘epic’ quality of these stories is deeply attached to family themes; the disruption of family networks and attempts to rescue the old or create new ones are central to the way the migration experience determines the structuring of life memories. The very act of migration focuses attention on its impact on kinship. The predominantly urban, nuclear family form of postwar British migration does contrast sharply with more traditional rural patterns based on extended family movements and ‘chain migration’. But British migrants' emphasis on the ‘quest for family’ and the refashioning of migrant identity in their narratives underlines the coexistence of traditional themes within countervailing trends towards the mobility of modernity.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".