Navigating the boundaries: women's work, gender, and community in the Minnesota northwoods, 1910-1965
Bibliographic record
Abstract
Focusing on a group of unique young women moving into and living in the backwoods of northeastern Minnesota and southern Ontario between 1910 and 1965, this study investigates how women stepped beyond the traditional gender roles of the first half of the twentieth century. By living hearty outdoor lives regularly engaged in what were typically considered men's activities at the time--hunting, trapping, canoeing, guiding, fishing, and dog-sledding-these women gained an intimate understanding of the northwoods environment from active involvement and in turn shaped the character of the area through lives that were largely self-sufficient yet evinced a strong sense of community assistance and interaction. Local native peoples sometimes helped these women adjust to their new lives in the northwoods country by teaching them food lore and wilderness skills. These interactions provide the context for an illuminating discussion on women's cooperation and friendships with Native American men and women that led to unique community dynamics. Utilizing personal interviews, memoirs, biography, journals, and contemporary newspaper articles, this study demonstrates-through issues of gender roles, ethnicity, community, and the environment--the fascinating and complex lives of these women. In turn, their lives lend further texture, depth, and richness to the general field of rural women's history.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".