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Record W2475448058 · doi:10.1057/9781403944085_3

Balancing Strategies: Aboriginal Women and Constitutional Rights in Canada

2003· book-chapter· en· W2475448058 on OpenAlexaboutno aff
Joyce Green

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2003
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionDemocracyPolitical scienceLawAppealPoliticsSupreme courtCharterAffirmative actionContext (archaeology)SociologyHistory

Abstract

fetched live from OpenAlex

Constitutional change in Canada has, for most of the country’s history, been a cautious process driven by white male elites within colonial and federal-provincial relationships, in a context driven by capitalist rather than democratic interests. Occasionally, women qua women have used law and politics to secure a measure of equitable justice, as in the 1929 Judicial Committee of the Privy Council (then the highest appeal court) Persons decision 2 that held that Canadian women were persons for the purpose of Senate appointments. This decision did not, however, translate then and since into an equitable or even significant number of female appointments to the Senate, itself an unrepresentative, unaccountable and highly problematic vestige of a more anti-democratic historical period. Legal action has also produced decisions like the infamous 1974 Attorney-General v. Lavell and Isaac v. Bedard decisions, in which the Supreme Court of Canada confirmed the racist, sexist status quo of the pre-1985 Indian Act as de jure equality, as all Indian women were equally subject to the offensive provisions. However, in 1982 the patriation of the then-British North America Act of 1867 (now re-named Constitution Act 1867), together with constitutional revisions and the adoption of the Charter of Rights and Freedoms, signalled a change in both constitutional vision and in federal and democratic engagement in constitutional politics in Canada.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations44
Published2003
Admission routes1
Has abstractyes

Explore more

Same venuePalgrave Macmillan UK eBooksSame topicCanadian Identity and HistoryFrench-language works237,207