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Record W1595103508 · doi:10.3138/jcs.43.3.101

“But What Is The Object of Educating These Children, If It Costs Their Lives to Educate Them?”: Federal Indian Education Policy in Western Canada in The Late 1800s

2009· article· en· W1595103508 on OpenAlexvenueaboutno aff
Richard A. Enns

Bibliographic record

VenueJournal of Canadian Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHouse of CommonsAssimilation (phonology)CommonsSociologyPolitical sciencePublic administrationEconomic growthPolitical economyLawEconomicsPolitics

Abstract

fetched live from OpenAlex

Debates in the Canadian House of Commons in the last two decades of the nineteenth century revealed persistent differences between the Conservatives and the Liberals over federal Indian education policy and the administration of industrial schools. Until their defeat in 1896, the Conservatives supported a denominational industrial school system and a policy of rapid assimilation. The Liberals generally opposed denominational schools and believed the industrial school system was too costly and was not leading to rapid assimilation. After gaining power, the Liberals stopped construction of industrial schools in favour of boarding and day schools, but denominational influence remained strong. The Conservative emphasis on assimilation was replaced by measures that supported reserve-based segregation as earlier hopes for rapid assimilation diminished. Despite policy differences, neither the Conservatives nor the Liberals held Aboriginal cultures in high regard, and debates regarding the means and intent of Indian education played out against well-known, high mortality rates and often abysmal conditions in the schools.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.150
Threshold uncertainty score0.985

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0360.019
Scholarly communication0.0070.002
Open science0.0020.003
Research integrity0.0040.007
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 head0.021
GPT teacher head0.292
Teacher spread0.271 · 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 designNot applicable
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

Citations13
Published2009
Admission routes2
Has abstractyes

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Same venueJournal of Canadian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207