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Record W7135504661

The Establishment of Residential Schools for Indigenous People in 19th Century Canada

2025· dissertation· cs· W7135504661 on OpenAlexaboutno aff
Markéta Frýzková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2025
Typedissertation
Languagecs
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeneral partnershipIdeologyIndigenous educationLate 19th centuryFirst nation
DOInot available

Abstract

fetched live from OpenAlex

This bachelor's thesis focuses on the establishment of residential schools for Indigenous people in Canada in the 19th century. Residential schools had been established in Canada since the 16th century, but it was not until the second half of the 19th century that the Canadian government's policy towards Indigenous peoples became centralized. Part of this centralization included efforts to assimilate Indigenous peoples into Canadian society. Using the theory of settler colonialism, this thesis focuses on the political, ideological, religious and economic reasons that led to the establishment of the residential school system in Canada in the 19th century. The central sources of analysis are the reports of Egerton Ryerson and Nicholas Flood Davin, which present the ideological foundations of the system and illustrate the role of educational policy in the process of assimilation. This thesis offers an analysis of the reasons for the emergence of the system through primary documents. It shows that the collaboration of institutions was a strategic partnership to create an educational system that would contribute to the gradual assimilation of Indigenous peoples into the dominant Canadian society.

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 score0.113
Threshold uncertainty score0.822

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.006
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.005
GPT teacher head0.255
Teacher spread0.250 · 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
Published2025
Admission routes1
Has abstractyes

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