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Record W778612153 · doi:10.3138/jcs.36.1.50

Confusing and Conflicting Agendas: Federalism, Official Languages and the Development of the Bilingualism in Education Program in Ontario, 1970-1983

2001· article· en· W778612153 on OpenAlexvenueaboutno aff
Matthew Hayday

Bibliographic record

VenueJournal of Canadian Studies · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismGovernment (linguistics)Neuroscience of multilingualismNegotiationJurisdictionPublic administrationFrenchBilingual educationPolitical scienceSociologyLawPedagogyLinguisticsPolitics

Abstract

fetched live from OpenAlex

The Bilingualism in Education Program began in 1970 as a federal government initiative to promote official minority language education and second-language instruction in the provinces. This article, a study of the development of language policy under the Trudeau government, examines the evolution of the progran1me over its first 13 years of operation in the province of Ontario. Over this period, friction developed between the federal and provincial governments and the Franco-Ontarian lobby groups as the programme evolved away from the original objectives of the federal government. Constrained by provincial jurisdiction over education under the Canadian federal system, Ottawa was unable to control the implementation of this programme. Consequently, the progran1me grew to cater more to the interests of the anglophone majority of Ontario, than to its francophone minority. As the negotiation process proceeded, issues of control and finance came to take precedence, while pedagogical issues tended to fall by the wayside.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.040
GPT teacher head0.339
Teacher spread0.299 · 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 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

Citations5
Published2001
Admission routes2
Has abstractyes

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