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Record W3025845536 · doi:10.3138/cpp.2019-042

Short-Term Effects of the Comprehensive Economic and Trade Agreement on Municipal Procurement in Canada

2020· article· en· W3025845536 on OpenAlexaffvenueabout
Dmitry Lysenko, Elizabeth Schwartz, Saul Schwartz

Bibliographic record

VenueCanadian Public Policy · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsCarleton UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsProcurementGovernment procurementBusinessGovernment (linguistics)European unionFramework agreementTerm (time)International tradeInternational economicsPublic economicsEconomicsMarketing

Abstract

fetched live from OpenAlex

The Comprehensive Economic and Trade Agreement (CETA) between Canada and the European Union, which entered into force in 2017, is the first international trade agreement that grants access to government procurement markets in Canadian municipalities. In the short term, will the agreement lead to major changes in the policies and procedures of Canadian local government procurement authorities or to changes in the proportion of foreign-controlled companies that win contracts? The magnitude of the impact depends on how the current practices of municipalities differ from those that are required under CETA. We focus on large Canadian municipalities and build our arguments on the basis of key informant interviews, analysis of legal and policy documents, and the econometric analysis of contract-level municipal data. Our conclusion is that CETA will not greatly affect process or outcomes, at least not in the short term.

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)0.008
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.908

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0100.005
Scholarly communication0.0070.002
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.026
GPT teacher head0.216
Teacher spread0.189 · 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 designObservational
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

Citations3
Published2020
Admission routes3
Has abstractyes

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