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Record W2585534320 · doi:10.1017/s2071832200001450

'In the Public Interest': The Responsibilities and Rights of Government Lawyers

2009· article· en· W2585534320 on OpenAlexaff
Allan C. Hutchinson

Bibliographic record

VenueGerman Law Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsYork University
Fundersnot available
KeywordsGovernment (linguistics)Professional responsibilityLegal ethicsLawPrivate rightsEconomic JusticeProfessional ethicsDemocracyPublic interestPolitical scienceSociologyLaw and economicsPolitics

Abstract

fetched live from OpenAlex

While considerable thought and effort has been put into exploring and fixing the ethical rights and professional responsibilities of private lawyers, little energy has been directed towards defining and defending the role and duties of government lawyers. As a result, the traditional understanding seems to be that government lawyers are to consider themselves as being under the same regimen and restrictions as their private counterparts. After criticizing this default approach, the article offers a fresh evaluation of what is different about the role of government lawyers and develops a more appropriate model for thinking about their professional responsibilities and ethical privileges. The central thrust of the article is the effort to appreciate legal ethics and professional responsibility as part of a larger democratic understanding of law and 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)0.022
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.042
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.047
Scholarly communication0.0150.012
Open science0.0020.008
Research integrity0.0110.011
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 head0.052
GPT teacher head0.385
Teacher spread0.333 · 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 designTheoretical or conceptual
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

Citations4
Published2009
Admission routes1
Has abstractyes

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