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Record W2010503995 · doi:10.1177/0020702013509313

Correcting the democratic deficit in the CETA negotiations: Civil society engagement in the provinces, municipalities, and Europe

2013· article· en· W2010503995 on OpenAlexaffabout
Stuart Trew

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsCouncil of Canadians with Disabilities
Fundersnot available
KeywordsCivil societyNegotiationDemocratic deficitDemocracyGovernment (linguistics)Economic JusticePublic administrationPolitical scienceCorporate governanceEconomicsLawPoliticsFinance

Abstract

fetched live from OpenAlex

The federal government claims that the Canada-EU Comprehensive Economic and Trade Agreement (CETA) negotiations have been the most transparent and participatory in Canadian history. Labour, environmental, social justice, and other civil society groups that are critical of the proposed agreement for various reasons would argue that their perspectives have been excluded from the official federal dialogue. This article looks at some of the efforts of non-governmental (civil society) actors, and in particular the Trade Justice Network and its member organizations, to affect the CETA negotiations in other ways, with an emphasis on contact with provincial governments, municipalities, European decision makers, and other non-governmental groups in Canada and Europe. It is argued that the exclusion of critical views shows an inherent democratic deficit in the CETA negotiations that privileges corporate insiders at the expense of civil society, the public, and even elected officials. Notwithstanding this deficit, the success of the civil society campaigns can be seen in the problem areas delaying a successful conclusion of negotiations, including new public procurement restrictions for Canadian municipalities and pharmaceutical patent term extensions. For the Trade Justice Network, these areas also help explain how the agreement narrows the fields of economic, environmental, and social governance in Canada.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.298
Teacher spread0.281 · 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 designNot applicable
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

Citations18
Published2013
Admission routes2
Has abstractyes

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