Make yourself a home : Hungarian immigration and life in Canada during the Great Depression
Bibliographic record
Abstract
Focusing on Hungarian immigration to Canada between 1924 and 1931, this paper aims to describe the immigrant experience and life during the Great Depression by juxtaposing family history research with critical scholarly works. Interdisciplinary in nature, the material of the article is organized around the motif of homemaking, and this theme is examined from the perspective of history, folklore studies and ethnography, anthropology, sociology, and cultural studies. In addition to critical scholarship on Hungarian and Central European emigration to North America, this essay relies on data gathered by the author in the spring of 2000 and on twofield trips in late 2001 - early 2002 with social science methods including printed questionnaires and archival documents, on-the-spot participant observation, and elicited flashbacks documented in fieldwork notes. Unless otherwise indicated, quotations in the subtitles of this study are taken from answers in the questionnaires and have been retained in their original language and grammatical form to reflect the linguistic and cultural idiosyncrasies and the rich connotations displayed by the sources: József Tóth, born in 1915, and Laci Tóth, born in 1920.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.036 | 0.011 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".