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Record W7011678783

Navigating the boundaries: women's work, gender, and community in the Minnesota northwoods, 1910-1965

2001· article· en· W7011678783 on OpenAlexaboutno aff

Bibliographic record

VenueIowa State University Digital Repository (Iowa State University) · 2001
Typearticle
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)NewspaperWildernessCharacter (mathematics)Work (physics)Field (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.212
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

Explore more

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