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Record W2318563080 · doi:10.1017/s0008423916000019

Note de recherche. L’effet Westminster : les cibles et les stratégies de lobbying dans le système parlementaire canadien

2015· article· fr· W2318563080 on OpenAlexaffabout
Maxime Boucher

Bibliographic record

VenueCanadian Journal of Political Science · 2015
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicPolitical Influence and Corporate Strategies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Résumé Cette note de recherche examine l'hypothèse selon laquelle les lobbies canadiens s'adressent principalement aux membres des institutions exécutives en raison des particularités du système parlementaire. Elle propose un examen du registre des lobbyistes qui mesure la fréquence des entretiens entre les lobbies et les fonctionnaires et politiciens canadiens entre l'été 2008 et l'été 2013. Cet exercice d'analyse systématique apporte une connaissance plus précise des cibles de lobbying au Canada. Les résultats indiquent que la majorité des activités de lobbying sont dirigées vers l'administration publique, mais que la Chambre des communes demeure tout de même l'une des institutions les plus sollicitées par les lobbyistes. En conclusion, il apparaît que les approches qui insistent trop fortement sur le rôle structurant des institutions parlementaires traduisent mal la réalité du lobbying. Les preuves empiriques montrent que de nombreux lobbies canadiens optent pour des stratégies intégrées axées sur l'intervention auprès des membres des branches exécutive et législative.

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)0.010
metaresearch head score (Gemma)0.045
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: Empirical
Teacher disagreement score0.981
Threshold uncertainty score0.648

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.045
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0030.003
Scholarly communication0.0060.004
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.002

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 head0.153
GPT teacher head0.344
Teacher spread0.191 · 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

Citations9
Published2015
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Political ScienceSame topicPolitical Influence and Corporate StrategiesFrench-language works237,207