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Record W2782783416 · doi:10.1515/pof-2017-0027

An Opportunity for Reflection – A Special Issue on “The Constitution of Canada: History, Evolution, Influence and Reform”

2017· article· en· W2782783416 on OpenAlexaboutno aff
Giuseppe Martinico, Albert Richard, Antonia Baraggia, Cristina Fasone

Bibliographic record

VenuePerspectives on Federalism · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionCharterPolitical scienceLawDemocracySeparation of powersPoliticsGovernment (linguistics)Constitutional lawBill of rights

Abstract

fetched live from OpenAlex

Abstract Canada is and will for the foreseeable future be a peaceful and prosperous liberal democracy whose Constitution Act, 1867, now 150 years old as of 2017, has become a model for the modern world. The Constitution of Canada has exerted considerable influence on other countries, particularly since the coming into force of its Constitution Act, 1982, which included the celebrated Canadian Charter of Rights and Freedoms. Just as Canada drew from foreign and international experiences in drafting its Charter, the world has learned a great deal from Canada, not only as to rights protections but also as to the separation of powers, the judicial function, and the structure of government. In light of these impressive achievements, an international symposium on the Canadian Constitution was held in Pisa at the Scuola Sant’Anna under the auspices of the Sant’Anna Legal Studies project and with the support of the DIRPOLIS (Law, Politics and Development) Institute at the Scuola Sant’Anna, the Canadian Embassy in Italy, and the International Association of Constitutional Law. This special issue collects some of the papers presented on that occasion.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.698

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0150.016
Scholarly communication0.0130.005
Open science0.0020.003
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0100.001

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 head0.034
GPT teacher head0.290
Teacher spread0.256 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

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