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Record W7066389804

The Impact of the Honour of the Crown on the\nEthical Obligations of Government Lawyers:\nA Duty of Honourable Dealing

2018· article· en· W7066389804 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGene expression and cancer classification
Canadian institutionsnot available
Fundersnot available
KeywordsHonourDutyGovernment (linguistics)ObligationNegotiationIndigenous
DOInot available

Abstract

fetched live from OpenAlex

The honour of the Crown is recognized as a Canadian constitutional principle that is essential to reconciliation between Indigenous and non-Indigenous Canadians. As part of the process of reconciliation, this article argues that the honour of the Crown imposes a special ethical obligation on government lawyers in specific circumstances, which we call the duty of honourable dealing. We situate this duty in the divided literature and case law about whether government lawyers have special ethical obligations and in the two dimensions in which the honour of the Crown applies: the Crown as an institution and the Crown as a collection ofpublic servants in the performance of defined duties. This duty applies when government lawyers are engaging directly with Indigenous peoples and their representatives in negotiation contexts. It requires that engagement in negotiation processes be meaningful, with a candid exchange ofpositions and views that are carefully and respectfully considered.

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)0.011
metaresearch head score (Gemma)0.032
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 score0.341
Threshold uncertainty score0.677

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.037
Scholarly communication0.0130.005
Open science0.0010.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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
Published2018
Admission routes1
Has abstractyes

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