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Legal Aspects of Regulating Lobbying in the United States of America and Canada

2014· article· en· W86642397 on OpenAlexaboutno aff
E. A. Kremyanskaya

Bibliographic record

VenueMGIMO Review of International Relations · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPolitical Influence and Corporate Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationPolitical scienceGovernment (linguistics)ImprisonmentState (computer science)LawLiabilityPublic administration

Abstract

fetched live from OpenAlex

The author reviews history and peculiarities of the legal regulations of lobbying in USA and Canada, points out the tendencies of the legislation development. USA and Canada are among the first countries, which included legal regulations on the lobbying relations in the state government. The author explores the evolution of development of the lobbying legislation in the USA, and in particular reviews the Foreign Agents Registration Act of 1938, Federal Regulation of Lobbying Act of 1976, Lobbying Disclosure Act of 1995, as well as evolution of the Canadian legislation, where the Act on Lobbying of 1989 is in force, which had substantial changes during the last ten years. Taking into consideration the territorial form of state, the author reviews not only the federal legislation, but also laws on the level of states and provinces of these federations. Besides, the author covers the activity of the control bodies, order of registration and reporting by lobbyists of their professional activity, reveals pro and cons of the legal regulations of such institution as lobbying. In the article there is the list of information, which should be provided by lobbyists to the control bodies and the author correctly mentions that this list in USA is much wider, comparing to Canadian regulations. In the article the author reviews the liability for violations of lobbying legislation. In particular, in the USA the criminal liability is applied up to 5 years of imprisonment and financial penalties up to 200 thousand US dollars. Based on the USA and Canada experience the author reveals the key issues, which should be fixed by the legal regulations in the country and in particular: the clear definition of the lobbying and lobbyist, necessity of disclosure on the information about client and amounts paid, fixing in the control mechanisms and liability.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.253
Teacher spread0.238 · 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 teacher head, 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

Citations1
Published2014
Admission routes1
Has abstractyes

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