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Record W1968502388 · doi:10.1093/publius/pjq009

Safeguarding Federalism in Education Policy in Canada and the United States

2010· article· en· W1968502388 on OpenAlexaboutno aff
Sandra Vergari

Bibliographic record

VenuePublius The Journal of Federalism · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismSafeguardingPublic administrationCooperative federalismGovernment (linguistics)Education policyEnforcementPolitical scienceAutonomyNational PolicyPoliticsNew FederalismEconomic growthHigher educationEconomicsLaw

Abstract

fetched live from OpenAlex

This article examines government power over elementary and secondary education policy in Canada and the United States. The study distinguishes between federal government policy and national policy that results from subnational governments adopting similar policies voluntarily. The analysis identifies factors that encourage development of national education policy. Federal policy appears to have greater potential for success than national policy due to federal resources and enforcement authority. However, there are constitutional constraints on federal power over education in Canada, and political and technical constraints in both countries. Subnational governments in both countries actively safeguard federalism and protect their autonomy. The study indicates that subnational commitment is essential for the success of both national education policy and federal education policy.

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)0.007
metaresearch head score (Gemma)0.016
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 score0.188
Threshold uncertainty score0.941

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0170.012
Scholarly communication0.0100.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.287
Teacher spread0.277 · 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

Citations21
Published2010
Admission routes1
Has abstractyes

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Same venuePublius The Journal of FederalismSame topicPolicy Transfer and LearningFrench-language works237,207