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Record W1991630684 · doi:10.1080/11926422.2014.934854

Tabling and waiting: a preliminary assessment of Canada's treaty-tabling policy

2014· article· en· W1991630684 on OpenAlexafffundabout
Silvina Lilian Danesi

Bibliographic record

VenueCanadian Foreign Policy Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRatificationTreatyParliamentPolitical scienceDemocratizationDemocracyLegislationOpposition (politics)LegislatureDemocratic deficitLawPublic administrationDominance (genetics)PoliticsPolitical economySociology

Abstract

fetched live from OpenAlex

To achieve a more democratic treaty-making process, the Canadian government introduced in 2008 a policy whereby treaties are tabled before Parliament for at least 21 sitting days before ratification. The decision came many years after other democracies had already adopted mechanisms to address the democratic deficit at the legislative level. It was also preceded by domestic demands for an end to the executive dominance over treaty-making. This article explores the implementation of the policy from 2008 to 2013 to assess its relevance to the democratization of the process. The findings suggest that, even though the process became more predictable and transparent, the policy neither promoted the debate of treaties nor altered the executive pre-eminence. Moreover, treaties not requiring implementing legislation were either not debated during the 21-day period or ratified despite the will of the House. The minority status of the government until the 2011 elections may explain the influence of opposition MPs over the passage of some bills implementing treaties.

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)0.018
metaresearch head score (Gemma)0.036
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 score0.702
Threshold uncertainty score0.814

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.013
Science and technology studies0.0210.005
Scholarly communication0.0170.003
Open science0.0040.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0100.000

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 head0.013
GPT teacher head0.287
Teacher spread0.274 · 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

Citations1
Published2014
Admission routes3
Has abstractyes

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