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Record W2278610945

Правовое регулирование лоббистской деятельности: канадские подходы

2008· article· ru· W2278610945 on OpenAlexaboutno aff
Сергей Владимирович Пчелинцев

Bibliographic record

VenueВопросы государственного и муниципального управления · 2008
Typearticle
Languageru
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsNormativeBureaucracyPolitical scienceGovernment (linguistics)PoliticsLanguage changeState (computer science)Work (physics)Public administrationInternational lawLaw and economicsPublic relationsLawSociologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Resistance and counteraction to bureaucracy corruption is one of directions of government reform. It is complex work having many aspects. It embraces different ingredients of state policy each of which needs close considering and comprehensive discussing. In this respect researching such a phenomenon as lobbyism, which is being much discussed nowadays, is of great interest. Different opinions have been expressed on necessity to work out project Lobbying Law, its content, including legal norms to prevent a conflict of interests, caused by lobbyists' activity. Serious attention is being paid to Canadian practice of legal provision and control of lobbyists' activity in connection with Russian-Canadian project on promoting State Government Reforms in Russian Federation. Some materials of project were used to write this article. Basing on analysis of data and information given in article, author makes following conclusions: 1. As it follows from the National Plan of Counteracting to Bureaucracy Corruption, Normative Legal regulating lobbyist activity in R.F. should take into account interests of political parties, social groups, juridical and physical persons, when Federal Acts or Acts of subjects of Russian Federation or some other normative acts may be made. To use this approach in practice, considering that it is quite new and innovative to Russian Legal System, is necessary to study existing practice of controlling and managing lobbyist activity. 2. Different suggestions on developing Federal regulation of lobbying act, including suggestions how corruption should be defeated, need comprehensive assessing, with foreign experience being thoroughly analyzed and used. 3. The major principles of Canadian Lobbying Acts are as follows: operation of a single common registration system for both business lobbyists and nonprofit organizations lobbyists. lobbyists are obliged to make reports of all money received and paid by them for purpose of influencing legislation on basis of free and open access to government offices. The purpose of Regulation Lobbying Act implementation is to inform large public about names and aims of those who seek to influence government authorities. For this purpose Public Registry System which exists in Canada requires lobbyists (in each lobbying case) to register with clerk of House and secretary of Senate to state names and addresses of persons employing them and amount of salary and expense they receive. What lobbyists are to do is defined by undertaking on basis of a contract or agreement either in written or oral form. All in all, main task of Lobbying Legislation is to provide public at large with information about open, transparent activity of lobbyists and to prevent conflicts of interests between government officials who are influenced by lobbyists. 4. The fact that Canada elaborates and considers mentioned in article legislation proposals on making demands to lobbyists tougher proves that civil society in country regards existing laws and their implementation in field of lobbyism with some doubt. This should be taken into account when conceptual provisions of fundamentally new Russian lobbying legislation are worked out.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.007

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 head0.086
GPT teacher head0.362
Teacher spread0.277 · 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 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
Published2008
Admission routes1
Has abstractyes

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