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Record W2804864252

Indigenous Trading Women of the Borderland Great Lakes,1740 to 1845

2017· dissertation· en· W2804864252 on OpenAlexaboutno aff
Emily Macgillivray

Bibliographic record

VenueDeep Blue (University of Michigan) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyPolitical scienceEcology
DOInot available

Abstract

fetched live from OpenAlex

This dissertation illustrates the role of indigenous trading women in significant events that shaped the borderlands Great Lakes region, including the French and Indian War, the American Revolutionary War, the Northwest Indian War, and treaty negotiations. Understanding the role of Native women traders is necessary to understanding both how these events unfolded and how they were affected by gendered indigenous practices, including kinship and hospitality. These women influenced the flow of commerce by producing and distributing valuable trade goods and contributed to the mapping and enforcement of political borders through their participation in legal conflicts and treaty negotiations. Recognizing the lives of Great Lakes trading women is essential to understanding the intertwined development of economics and politics in the region. Furthermore, ignoring the contributions of indigenous trading women enforces male-centered, settler colonial narratives of the region that demotes the women to the accessories of their EuroAmerican partners. While previous scholarship on gender and the Great Lakes has focused on indigenous women’s role in fur trade marriages, this project examines indigenous women in the Great Lakes borderlands as independent economic and political agents and illustrates how settler colonialism operated as a gendered process. As EuroAmerican settlement increased, customs like coverture were enforced and Native kinship networks and forms of inheritance were eroded, creating fewer opportunities for indigenous women to acquire property. However, elite Native women drew on multiple subversive and gendered forms of resistance, including kinship networks, language skills, and knowledge of trade networks, to attempt to navigate a settler colonial system designed to deny indigenous land claims. This project covers the mid-eighteenth to mid-nineteenth century and is grounded in the lives of Haudenosaunee and Anishinaabe women who operated as adroit transnational actors in the borderlands Great Lakes, including Sally Ainse (Oneida), Molly Brant (Mohawk), Ozhaguscodaywayquay (Ojibwe), and Magdalene Laframboise (Odawa). While Haudenosaunee women traders in the lower Great Lakes struggled to retain their political influence and control of property amidst intensifying settler colonialism after the turn of the nineteenth century, Anishinaabe women traders maintained their political and economic influence in the upper Great Lakes into the mid-nineteenth century. Indigenous women traders throughout the region were transitional figures of Native survivance who worked to preserve themselves and their families among intensifying settler colonial development in the late eighteenth and first half of the nineteenth centuries. Tracking the lives of indigenous trading women in the Great Lakes borderlands requires a broad territorial focus, including the Susquehanna and Mohawk River Valleys to the south shore of Lake Superior. By demonstrating how Ohio Valley, western Pennsylvania and New York, and the Ontario Peninsula operated as a distinctive lower Great Lakes region, this project demands a reorientation of Great Lakes geography. Trading women’s political and economic networks demonstrate connections between the political and economic systems in the lower and upper Great Lakes, while simultaneously illustrating how each region was gendered differently due to indigenous roles, EuroAmerican marriages customs, and colonialism.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.202
Teacher spread0.195 · 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 designQualitative
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
Published2017
Admission routes1
Has abstractyes

Explore more

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