MétaCan
Menu
Back to cohort
Record W2162482819 · doi:10.3138/utlj.0117

THE CONSTITUTION AS FRAMEWORK FOR GOVERNANCE

2013· article· en· W2162482819 on OpenAlexaffvenueabout
Vanessa MacDonnell

Bibliographic record

VenueUniversity of Toronto Law Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsConstitutionCorporate governancePublic administrationPolitical scienceLaw and economicsBusinessLawSociologyFinance

Abstract

fetched live from OpenAlex

Since the entrenchment of the Canadian Charter of Rights and Freedoms, there has been a tendency to view the judiciary as being the primary institution responsible for securing and advancing constitutional rights and values. Less attention has been paid to what role government might have in this regard. In this article I explore the government’s role in what scholars sometimes refer to as ‘constitutional implementation’ and offer a theory of Canadian constitutionalism that better reflects this role. Following Alexy, I suggest that, guided by the ‘framework’ established by the Charter, government can be understood to play a central role in securing and advancing constitutional rights and values. If the Charter imposes explicit limits on state power as well as certain affirmative obligations, then the government’s role in constitutional implementation is much greater than is generally acknowledged. Once this role is better understood, certain deficiencies in the conventional account of Canadian constitutionalism become clear, particularly insofar as this account conceptualizes the Charter as comprising a series of limits on government power and imagines government as a potential rights-infringer to be reined in by the courts.

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)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.615
Threshold uncertainty score0.775

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0070.040
Scholarly communication0.0110.005
Open science0.0020.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.257
Teacher spread0.247 · 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 designTheoretical or conceptual
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

Citations1
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueUniversity of Toronto Law JournalSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207