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Record W1568347023

Lawyering at the Intersection of Public Law and Legal Ethics: Government Lawyers as Custodians of the Rule of Law

2010· article· en· W1568347023 on OpenAlexaffabout
Adam M. Dodek

Bibliographic record

VenueSSRN Electronic Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCustodiansGovernment (linguistics)LawLegal ethicsProfessional responsibilityPolitical scienceDutyAccountabilityProfessional conduct
DOInot available

Abstract

fetched live from OpenAlex

Government lawyers are significant actors in the Canadian legal profession, yet they are largely ignored by regulators and by academic scholarship. The dominant view of lawyering fails to adequately capture the unique role of government lawyers. Government lawyers are different from other lawyers by virtue of their role in creating and upholding the rule of law. Most accounts of government lawyers separate law duties of government from ethical duties of lawyers; for example, acknowledging the public interest role of government lawyers but asserting that this has no impact on their ethical duties as lawyers. Instead of this compartmentalized approach, this article advocates a unified vision of the roles and responsibilities of government lawyers. Examining the role of government lawyers should start by recognizing that they operate at the intersection of law and legal ethics. Government lawyers are not simply lawyers working in the sector. Nor are they simply servants who happen to be lawyers. They are both lawyers and servants at the same time. This creates unique tensions, problems and responsibilities for government lawyers. Government lawyers do owe a higher ethical duty than other lawyers which is explained through the concept of government lawyers as custodians of the rule of law. Existing forms of regulation are adequate for protection but insufficient in law terms to address concerns regarding the exercise of power. Additional forms of accountability should be created including the development of specific codes of conduct for government lawyers, proactive disclosure and the creation of an Office of Professional Responsibility within federal and provincial departments of justice.

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)0.006
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.324
Threshold uncertainty score0.644

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.059
Scholarly communication0.0200.014
Open science0.0010.007
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0050.001

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 head0.024
GPT teacher head0.334
Teacher spread0.310 · 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
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

Citations7
Published2010
Admission routes2
Has abstractyes

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