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Record W3140912808

Cutting the Knot: Founding Canada and Restoring the Honour of the Crown

2020· dissertation· W3140912808 on OpenAlexaffabout

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHonourKnot (papermaking)Crown (dentistry)EngineeringPolitical scienceLawMedicinePulp and paper industryDentistry
DOInot available

Abstract

fetched live from OpenAlex

The honour of the Crown in Canadian Aboriginal jurisprudence has taken on a prominent role in interpreting s.35 of the Constitution Act 1982, cited as grounding, at a minimum, Crown responsibilities to consult and accommodate. Yet what is not often discussed is the over 800 year long legal legacy of the honour of the Crown in common law and equity and that our understanding of Crown honour today appears greatly narrowed and underapplied in contrast. I offer a more full and complete understanding of the roots of the honour of the Crown and its relevance to the Crown's relationship to Indigenous peoples with the hope of offering a new lens through which to more properly understand those relationships, those treaties made on the basis of Crown honour, and the path of reconciliation itself.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.096
Threshold uncertainty score0.695

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0420.028
Scholarly communication0.0120.005
Open science0.0020.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0070.000

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 head0.034
GPT teacher head0.281
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 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
Published2020
Admission routes2
Has abstractyes

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