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Record W1771476453

Comparative approaches to conflict of interest : The United States, Canada and the United Kingdom

2001· article· en· W1771476453 on OpenAlexaboutno aff
Kathy Lalazarian

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationPublic interestPolitical scienceConflict of interestGovernment (linguistics)EnforcementPublic administrationState (computer science)Special Interest GroupNational interestLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

This note addresses the issue of conflict of interest in the public sector and summarizes existing legislation and procedures regarding this issue in three countries with different approaches to the problem: Canada, the United Kingdom, and the United States. After reviewing the general principles of conflict of interest, this note focuses on the basic components and range of choices in drafting conflict of interest legislation and related enforcement mechanisms based on the country examples provided. Though these examples serve as useful illustrations, effective conflict of interest legislation will be based on shared expectations of what constitutes conflict of interest, the structure of relevant government institutions, and the state's capacity to monitor the private interests of public officials. Consequently, such legislation should be tailored to the particular circumstances within the Russian Federation.

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)0.012
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.621

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0130.017
Science and technology studies0.0170.016
Scholarly communication0.0160.008
Open science0.0020.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.867
GPT teacher head0.548
Teacher spread0.319 · 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.

Study designQualitative
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

Citations0
Published2001
Admission routes1
Has abstractyes

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