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Record W1482002129

The Historical Development of Private Education in Canada.

2008· article· en· W1482002129 on OpenAlexaboutno aff
Brenda B. MacKay, Michael W. Firmin

Bibliographic record

VenueDigitalCommons-Cedarville (Cedarville University) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumImmigrationMulticulturalismEconomic growthPopulationPolitical sciencePublic educationSociologyPublic administrationSchool systemEducation policyHigher educationPedagogyLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

The Canadian educational system has been influenced by geography, population, and natural resources. In some provinces, denominational schools exist within the public school system. Although committed to a multiethnic society, private education also exists within the larger system, with religious or Christian schools considered a subset of private education. The early French and British immigrants to Canada shaped the educational system and their influence is still evident in the contemporary educational milieu, including the dual-language system and the adoption of a multicultural model. The Roman Catholic and Church of England influences were particularly strong since, unlike education in America, religion was integrated into public education. Canadian educational history passed through several stages with both public and provincially funded education under the direction of provincial governments. These included church-controlled education (1700s to mid 1800s); a more centralized authority, universal free education, and taxation at the local level (mid 1800s); the creation of provincial departments of education, a more consistent curriculum, better trained teachers, continued local taxation together with provincial grants (late 1800s to 1900); and from 1900 to the present day, the creation of Ministers of Education in each province and provincial governments playing an increasingly significant role in the shaping of policy and administration.

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 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 score0.973
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.260
Teacher spread0.207 · 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.

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

Citations2
Published2008
Admission routes1
Has abstractyes

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