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Record W2409216996 · doi:10.29173/css241

The Unofficial Federal School Curriculum in Canada: Issues and Implications for Quebec Education

2013· article· en· W2409216996 on OpenAlexvenueaboutno aff
Anthony Di Mascio

Bibliographic record

VenueCanadian Social Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumGovernment (linguistics)Political scienceConstitutionPoliticsPublic administrationPublic relationsSociologyLaw

Abstract

fetched live from OpenAlex

This study seeks to address the ways in which the federal government has influenced elementary and secondary education throughout Canada. By producing teaching and learning material that is neither provincially sanctioned nor provincially focused, are federal agencies crossing constitutional jurisdictions in ways that compete with provincially prescribed curricula? While scholars have considered federal involvement in education from an administrative and legal standpoint, they have done less to examine the actual teaching and learning material produced by federal departments and agencies. Such teaching and learning material represents an unofficial federal curriculum in Canada aimed at promoting a pan-Canadian shared sense of identity. Using the Quebec Education Program as a case study for comparison, this study suggests that the material in many instances conflicts with the aims and intentions of provincial curricula.

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)0.004
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.902

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0220.006
Scholarly communication0.0090.002
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.071
GPT teacher head0.385
Teacher spread0.314 · 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

Citations4
Published2013
Admission routes2
Has abstractyes

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