Samira Saramo, Building That Bright Future: Soviet Karelia in the Life Writing of Finnish North Americans
Bibliographic record
Abstract
In Building That Bright Future: Soviet Karelia in the Life Writing of Finnish North Americans, Samira Saramo has written an interesting and clear study of a significant but little-known series of events in world history. During the late 19th and early 20th centuries, over 300,000 Finns immigrated to the United States and Canada, often settling in Michigan’s Upper Peninsula and northern Wisconsin and Minnesota. During the early 1930s, many of these immigrants were actively recruited to return, not to Finland proper but to Karelia, a frequently-disputed region on the border of Finland and what was then the Soviet Union. Many of these Finns tended politically toward socialism and perceived the Soviet Union as a favorable sign of the kind of future they believed in. Simultaneously, they were attractive to members of the Karelian leadership because they were more educated than most residents of the region and were assumed to have greater access to tools, machinery, and other financial resources. Eventually, about 6500 North American Finns moved to Karelia, where they were met with significant social and physical challenges. Many of them eventually died during the Stalinist Great Terror.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".