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Record W2275885042

Constitutional Recognition of Diversity in Canada

2006· article· en· W2275885042 on OpenAlexaffabout
Colleen Sheppard

Bibliographic record

VenueSSRN Electronic Journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMcGill University
Fundersnot available
KeywordsConstitutionalismDiversity (politics)ConstitutionConstitutional lawState (computer science)CitizenshipPolitical scienceGovernment (linguistics)Liberal democracyLawEthnic groupMulticulturalismFace (sociological concept)Identity (music)Constitutional theorySociologyPoliticsDemocracySocial science
DOInot available

Abstract

fetched live from OpenAlex

Constitutionalism is deeply relational. It mediates relations between individuals and the state, between governments, between government actors, between economic and social institutions and the state, and between diverse communities. One of the enduring challenges of Canadian constitutional law has been how to forge a sense of national unity and a Canadian identity in the face of strongly diverse communities. Although debates about accommodating diversity in pluralistic democracies have become more prevalent over the past thirty years, the debate in Canada goes back to the early era of nation building. At that time, however, the constitutional accommodation of diversity only reached the two dominant communities – English-speaking Protestants and French Catholics. Other significant sources of diversity in Canada were not recognized. Most strikingly, aboriginal peoples did not participate in the constitutional dialogues about the Canadian constitution. Constitutional law, through its omissions, also allowed for other discriminatory exclusions based on race, national or ethnic origin, sex, civil status, and disability. [...]

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)0.003
metaresearch head score (Gemma)0.010
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 score0.241
Threshold uncertainty score0.881

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0300.012
Scholarly communication0.0100.002
Open science0.0020.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.000

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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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

Citations5
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueSSRN Electronic Journal→Same topicCanadian Identity and History→French-language works237,207→