A Folkloristic Analysis of Polish Immigrant Narratives in Western Canada
Bibliographic record
Abstract
Abstract The large wave of Polish immigration to Canada during the years immediately following World War II also brought the production of written narratives that reflect upon the process of migration and settlement in the new place. Although these migrants included persons from all across Poland, of different age groups, backgrounds, and occupations, the migration narratives share certain distinctive formulas and patterns, particularly in terms of their plot lines and narrative structure. Each story highlights the journey and its difficulties, the arrival and culture shock, the struggle to adapt, and finally acceptance of life in the new world. This article focuses on the migration experiences of Józef Bauer (arriving in Canada in 1946), Helena Beznowska (arriving 1948), Marian Pawiński (arriving 1949), and Erika Wolf-May (arriving 1953). Explored from a folkloristic perspective, these four narratives fulfill the four functions of folklore: entertainment, education, validation and reinforcement of beliefs and conduct, and maintaining the stability, solidarity, cohesiveness, and continuity of a group within the larger mass culture. Moreover, as folkloric expressions of culture, the narratives not only reflect our very human culture, but also reinforce our shared humanity.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.019 | 0.012 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.005 |
| 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".