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Record W2966769105 · doi:10.60770/z1qm-3c78

A historical analysis of the substantive principles of fundamental justice under Section 7 of the Canadian Charter of Rights and Freedoms

2024· dissertation· en· W2966769105 on OpenAlexaffabout
Margaret E Bowles

Bibliographic record

VenueMount Royal University Institutional Repository (Mount Royal University) · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsMount Royal University
Fundersnot available
KeywordsCharterSection (typography)Political scienceLawEconomic JusticeLaw and economicsSociologyComputer science

Abstract

fetched live from OpenAlex

The Principles of Fundamental Justice ascribed under section 7 of the Charter of Rights and Freedoms are a commonly misunderstood and an ambiguous area of Canadian law. Within the Canadian context, the Supreme Court’s interpretations of these principles give them incredible weight and significance, while giving little definition or explanation. Drawing on case law from the Supreme Court of Canada, this thesis examines the Supreme Court’s interpretation of substantive principles of fundamental justice for the purpose of evaluating their importance and use within Canadian law. The Court is reluctant to provide precise definitions of these principles for the purpose of increased interpretive power in the future. Due to the Charter’s relatively young age and the emergence of significant topics under section 7, the Court denies furthering what the principals of fundamental justice are in order to better protect the right to life, liberty and security of person in the future.

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)0.008
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.181
Threshold uncertainty score0.949

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0220.035
Scholarly communication0.0120.004
Open science0.0020.002
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.207
Teacher spread0.193 · 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
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

Citations0
Published2024
Admission routes2
Has abstractyes

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