Capitalism as Death: Loss of Life and the Finnish Migrant Left in the Early Twentieth Century
Bibliographic record
Abstract
Abstract In early twentieth-century Canada and the United States, Finnish migrants faced dangerous working conditions and regularly lost lives on the job. To counter government and company inaction, migrant workers supported each other through grassroots community systems of reciprocity and participation in unionism and socialism. This article pairs migrant labor history with the history of death and mourning to explore how the relationship between the two may mutually develop our understandings of everyday life. Three case studies are at the center of analysis: the Italian Hall Tragedy of 1913 (Calumet, Michigan), the Hollinger Gold Mine Disaster of 1928 (Timmins, Ontario), and the deaths of lumber union organizers Viljo Rosvall and Janne Voutilainen in 1929 (Thunder Bay District, Ontario). By focusing on the death, grief, and mourning at the core of these events and on the days immediately following the tragedies, I demonstrate that death and loss were central to Finnish migrant workers’ everyday encounters with community and class-consciousness. I analyze newspaper coverage of these deaths in order to investigate the strategies of the Finnish language socialist press and leadership to emphasize the deadly power of the capitalist socioeconomic structure, but also seek the everyday spaces, feelings, and relationships caught among labor tensions. In analyzing the cases, I aim to highlight opportunities for new types of dialogue on migrant social history that come from bringing together death, the everyday, and the political.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.029 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| 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".