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Record W1578944017 · doi:10.29173/mruhr105

“Each has a house of her own”: Purpose, Domesticity and Agency of First Nations Women in Canada’s Industrial School System, 1883-1923.

2014· article· en· W1578944017 on OpenAlexaffvenueabout
Sarah Nason

Bibliographic record

VenueMount Royal Undergraduate Humanities Review (MRUHR) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMount Royal University
Fundersnot available
KeywordsAgency (philosophy)Government (linguistics)ColonialismWork (physics)Gender studiesAgricultureIndustrial educationPolitical scienceIndustrial societySociologyEconomic growthPedagogySocial scienceLawHistoryEngineeringVocational educationEconomics

Abstract

fetched live from OpenAlex

This paper uses the lenses of gender and colonialism to examine the goals and actual outcomes of industrial schools, as well as the experiences of female students in a particular era—the 1880s to the turn of the century. The industrial school system was originally implemented in western Canada to train First Nations males in various trades such as farming, and to assimilate these students into the dominant Euro-Canadian society, but administrators changed their mind and decided to educate female students as well. Specifically, the first three industrial schools created which laid the foundation for the system in the west (including British Columbia) will be the focus. These schools are High River Industrial School in what is now Alberta, and the Qu’Appelle Industrial School and the Battleford Industrial School in Saskatchewan. Two leading questions have shaped this study. First, this work interrogates the various churches’ and government’s goals for female students in the industrial schools of western Canada. This study argues that the Canadian federal government’s and various churches’ goals for the female students were twofold. Initially the purpose of education for the female student was to create “proper” wives for the male students who would stand in place of the “non-educated” and “unassimilated” First Nations females who would otherwise, according to officials of the institutions, pull male graduates back into a life of “savagery.” However, as time progressed, the methods of educating female students changed. Female students, with support from the government and the churches, took on the role of domestic servants both inside and out of the school as part of the “outing system.” However, administrators intended such positions to be temporary as the primary goal remained that female graduates would marry and conform to gender ideals at the time. Second, the paper examines the “success” of the schools based on their projected outcomes and argues that the system was ineffective. Female students prevented the federal government and various churches from achieving their goals of making “proper” housewives through the industrial school system. Many women kept their traditions after graduation by returning to their families and nations, and through activities such as leaving graduate colonies to attend traditional activities such as the Sun Dance. Still others did not conform to Victorian ideals of womanhood when they became “breadwinners” through their work in domestic service. This study concludes that while government and church administrators believed that the schools would teach female Aboriginal students how to conform to ideals of white, Victorian womanhood and would help advance the cause of “civilizing” male students, in the end, female students found employment outside of the home, the opposite of what administrators envisioned.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.891

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0390.016
Scholarly communication0.0080.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.220
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes3
Has abstractyes

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